title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
|---|---|---|---|---|---|---|---|
Linear theory for single and double flap wavemakers | In this paper, we are concerned with deterministic wave generation in a
hydrodynamic laboratory. A linear wavemaker theory is developed based on the
fully dispersive water wave equations. The governing field equation is the
Laplace equation for potential flow with several boundary conditions: the
dynamic and kinemati... | 0 | 1 | 0 | 0 | 0 | 0 |
Image-domain multi-material decomposition for dual-energy CT based on correlation and sparsity of material images | Dual energy CT (DECT) enhances tissue characterization because it can produce
images of basis materials such as soft-tissue and bone. DECT is of great
interest in applications to medical imaging, security inspection and
nondestructive testing. Theoretically, two materials with different linear
attenuation coefficient... | 0 | 1 | 0 | 0 | 0 | 0 |
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model | In wind farms, wake interaction leads to losses in power capture and
accelerated structural degradation when compared to freestanding turbines. One
method to reduce wake losses is by misaligning the rotor with the incoming flow
using its yaw actuator, thereby laterally deflecting the wake away from
downstream turbine... | 1 | 0 | 0 | 0 | 0 | 0 |
UCB Exploration via Q-Ensembles | We show how an ensemble of $Q^*$-functions can be leveraged for more
effective exploration in deep reinforcement learning. We build on well
established algorithms from the bandit setting, and adapt them to the
$Q$-learning setting. We propose an exploration strategy based on
upper-confidence bounds (UCB). Our experim... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards a Deep Improviser: a prototype deep learning post-tonal free music generator | Two modest-sized symbolic corpora of post-tonal and post-metric keyboard
music have been constructed, one algorithmic, the other improvised. Deep
learning models of each have been trained and largely optimised. Our purpose is
to obtain a model with sufficient generalisation capacity that in response to a
small quanti... | 1 | 0 | 0 | 0 | 0 | 0 |
Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data | Existing urban boundaries are usually defined by government agencies for
administrative, economic, and political purposes. Defining urban boundaries
that consider socio-economic relationships and citizen commute patterns is
important for many aspects of urban and regional planning. In this paper, we
describe a method... | 1 | 1 | 0 | 0 | 0 | 0 |
Avoiding a Tragedy of the Commons in the Peer Review Process | Peer review is the foundation of scientific publication, and the task of
reviewing has long been seen as a cornerstone of professional service. However,
the massive growth in the field of machine learning has put this community
benefit under stress, threatening both the sustainability of an effective
review process a... | 1 | 0 | 0 | 0 | 0 | 0 |
Partially Recursive Acceptance Rejection | Generating random variates from high-dimensional distributions is often done
approximately using Markov chain Monte Carlo. In certain cases, perfect
simulation algorithms exist that allow one to draw exactly from the stationary
distribution, but most require $O(n \ln(n))$ time, where $n$ measures the size
of the inpu... | 1 | 0 | 1 | 0 | 0 | 0 |
Reifenberg Flatness and Oscillation of the Unit Normal Vector | We show (under mild topological assumptions) that small oscillation of the
unit normal vector implies Reifenberg flatness. We then apply this observation
to the study of chord-arc domains and to a quantitative version of a two-phase
free boundary problem for harmonic measure previously studied by Kenig-Toro.
| 0 | 0 | 1 | 0 | 0 | 0 |
Stability and optimality of distributed secondary frequency control schemes in power networks | We present a systematic method for designing distributed generation and
demand control schemes for secondary frequency regulation in power networks
such that stability and an economically optimal power allocation can be
guaranteed. A dissipativity condition is imposed on net power supply variables
to provide stabilit... | 1 | 0 | 1 | 0 | 0 | 0 |
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism | Terrorism has become one of the most tedious problems to deal with and a
prominent threat to mankind. To enhance counter-terrorism, several research
works are developing efficient and precise systems, data mining is not an
exception. Immense data is floating in our lives, though the scarce
availability of authentic t... | 1 | 0 | 0 | 1 | 0 | 0 |
OVI 6830Å Imaging Polarimetry of Symbiotic Stars | I present here the first results from an ongoing pilot project with the 1.6 m
telescope at the OPD, Brasil, aimed at the detection of the OVI $\lambda$6830
line via linear polarization in symbiotic stars. The main goal is to
demonstrate that OVI imaging polarimetry is an efficient technique for
discovering new symbio... | 0 | 1 | 0 | 0 | 0 | 0 |
MMGAN: Manifold Matching Generative Adversarial Network | It is well-known that GANs are difficult to train, and several different
techniques have been proposed in order to stabilize their training. In this
paper, we propose a novel training method called manifold-matching, and a new
GAN model called manifold-matching GAN (MMGAN). MMGAN finds two manifolds
representing the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts | Acute respiratory infections have epidemic and pandemic potential and thus
are being studied worldwide, albeit in many different contexts and study
formats. Predicting infection from symptom data is critical, though using
symptom data from varied studies in aggregate is challenging because the data
is collected in di... | 0 | 0 | 0 | 1 | 1 | 0 |
Constrained empirical Bayes priors on regression coefficients | Under model uncertainty, empirical Bayes (EB) procedures can have undesirable
properties such as extreme estimates of inclusion probabilities (Scott &
Berger, 2010) or inconsistency under the null model (Liang et al., 2008). To
avoid these issues, we define empirical Bayes priors with constraints that
ensure that the... | 0 | 0 | 1 | 1 | 0 | 0 |
A finite field analogue for Appell series F_3 | In this paper we introduce a finite field analogue for the Appell series F_3
and give some reduction formulae and certain generating functions for this
function over finite fields.
| 0 | 0 | 1 | 0 | 0 | 0 |
Two-way Two-tape Automata | In this article we consider two-way two-tape (alternating) automata accepting
pairs of words and we study some closure properties of this model. Our main
result is that such alternating automata are not closed under complementation
for non-unary alphabets. This improves a similar result of Kari and Moore for
picture ... | 1 | 0 | 0 | 0 | 0 | 0 |
Making 360$^{\circ}$ Video Watchable in 2D: Learning Videography for Click Free Viewing | 360$^{\circ}$ video requires human viewers to actively control "where" to
look while watching the video. Although it provides a more immersive experience
of the visual content, it also introduces additional burden for viewers;
awkward interfaces to navigate the video lead to suboptimal viewing
experiences. Virtual ci... | 1 | 0 | 0 | 0 | 0 | 0 |
Zero-Shot Learning by Generating Pseudo Feature Representations | Zero-shot learning (ZSL) is a challenging task aiming at recognizing novel
classes without any training instances. In this paper we present a simple but
high-performance ZSL approach by generating pseudo feature representations
(GPFR). Given the dataset of seen classes and side information of unseen
classes (e.g. att... | 1 | 0 | 0 | 0 | 0 | 0 |
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection | Speaker change detection (SCD) is an important task in dialog modeling. Our
paper addresses the problem of text-based SCD, which differs from existing
audio-based studies and is useful in various scenarios, for example, processing
dialog transcripts where speaker identities are missing (e.g., OpenSubtitle),
and enhan... | 1 | 0 | 0 | 0 | 0 | 0 |
Bivariate Discrete Generalized Exponential Distribution | In this paper we develop a bivariate discrete generalized exponential
distribution, whose marginals are discrete generalized exponential distribution
as proposed by Nekoukhou, Alamatsaz and Bidram ("Discrete generalized
exponential distribution of a second type", Statistics, 47, 876 - 887, 2013).
It is observed that ... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimization of Ensemble Supervised Learning Algorithms for Increased Sensitivity, Specificity, and AUC of Population-Based Colorectal Cancer Screenings | Over 150,000 new people in the United States are diagnosed with colorectal
cancer each year. Nearly a third die from it (American Cancer Society). The
only approved noninvasive diagnosis tools currently involve fecal blood count
tests (FOBTs) or stool DNA tests. Fecal blood count tests take only five
minutes and are ... | 1 | 0 | 0 | 1 | 0 | 0 |
More or Less? Predict the Social Influence of Malicious URLs on Social Media | Users of Online Social Networks (OSNs) interact with each other more than
ever. In the context of a public discussion group, people receive, read, and
write comments in response to articles and postings. In the absence of access
control mechanisms, OSNs are a great environment for attackers to influence
others, from ... | 1 | 0 | 0 | 0 | 0 | 0 |
Path-Following through Control Funnel Functions | We present an approach to path following using so-called control funnel
functions. Synthesizing controllers to "robustly" follow a reference trajectory
is a fundamental problem for autonomous vehicles. Robustness, in this context,
requires our controllers to handle a specified amount of deviation from the
desired tra... | 1 | 0 | 0 | 0 | 0 | 0 |
Tunable Anomalous Andreev Reflection and Triplet Pairings in Spin Orbit Coupled Graphene | We theoretically study scattering process and superconducting triplet
correlations in a graphene junction comprised of ferromagnet-RSO-superconductor
in which RSO stands for a region with Rashba spin orbit interaction. Our
results reveal spin-polarized subgap transport through the system due to an
anomalous equal-spi... | 0 | 1 | 0 | 0 | 0 | 0 |
Conditional Model Selection in Mixed-Effects Models with cAIC4 | Model selection in mixed models based on the conditional distribution is
appropriate for many practical applications and has been a focus of recent
statistical research. In this paper we introduce the R-package cAIC4 that
allows for the computation of the conditional Akaike Information Criterion
(cAIC). Computation o... | 0 | 0 | 0 | 1 | 0 | 0 |
Inequalities for the lowest magnetic Neumann eigenvalue | We study the ground state energy of the Neumann magnetic Laplacian on planar
domains. For a constant magnetic field we consider the question whether, under
an assumption of fixed area, the disc maximizes this eigenvalue. More
generally, we discuss old and new bounds obtained on this problem.
| 0 | 0 | 1 | 0 | 0 | 0 |
Automated optimization of large quantum circuits with continuous parameters | We develop and implement automated methods for optimizing quantum circuits of
the size and type expected in quantum computations that outperform classical
computers. We show how to handle continuous gate parameters and report a
collection of fast algorithms capable of optimizing large-scale quantum
circuits. For the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Testing the simplifying assumption in high-dimensional vine copulas | Testing the simplifying assumption in high-dimensional vine copulas is a
difficult task because tests must be based on estimated observations and amount
to checking constraints on high-dimensional distributions. So far,
corresponding tests have been limited to single conditional copulas with a
low-dimensional set of ... | 0 | 0 | 0 | 1 | 0 | 0 |
TSP With Locational Uncertainty: The Adversarial Model | In this paper we study a natural special case of the Traveling Salesman
Problem (TSP) with point-locational-uncertainty which we will call the {\em
adversarial TSP} problem (ATSP). Given a metric space $(X, d)$ and a set of
subsets $R = \{R_1, R_2, ... , R_n\} : R_i \subseteq X$, the goal is to devise
an ordering of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Exact solutions to three-dimensional generalized nonlinear Schrodinger equations with varying potential and nonlinearities | It is shown that using the similarity transformations, a set of
three-dimensional p-q nonlinear Schrodinger (NLS) equations with inhomogeneous
coefficients can be reduced to one-dimensional stationary NLS equation with
constant or varying coefficients, thus allowing for obtaining exact localized
and periodic wave sol... | 0 | 1 | 1 | 0 | 0 | 0 |
A Study of Reinforcement Learning for Neural Machine Translation | Recent studies have shown that reinforcement learning (RL) is an effective
approach for improving the performance of neural machine translation (NMT)
system. However, due to its instability, successfully RL training is
challenging, especially in real-world systems where deep models and large
datasets are leveraged. I... | 0 | 0 | 0 | 1 | 0 | 0 |
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification | Artificial neural network (ANN) is a very useful tool in solving learning
problems. Boosting the performances of ANN can be mainly concluded from two
aspects: optimizing the architecture of ANN and normalizing the raw data for
ANN. In this paper, a novel method which improves the effects of ANN by
preprocessing the r... | 1 | 0 | 0 | 1 | 0 | 0 |
Maximum likelihood estimation of determinantal point processes | Determinantal point processes (DPPs) have wide-ranging applications in
machine learning, where they are used to enforce the notion of diversity in
subset selection problems. Many estimators have been proposed, but surprisingly
the basic properties of the maximum likelihood estimator (MLE) have received
little attenti... | 0 | 0 | 1 | 1 | 0 | 0 |
Orthogonal Machine Learning: Power and Limitations | Double machine learning provides $\sqrt{n}$-consistent estimates of
parameters of interest even when high-dimensional or nonparametric nuisance
parameters are estimated at an $n^{-1/4}$ rate. The key is to employ
Neyman-orthogonal moment equations which are first-order insensitive to
perturbations in the nuisance par... | 1 | 0 | 1 | 1 | 0 | 0 |
Numerical investigation of supersonic shock-wave/boundary-layer interaction in transitional and turbulent regime | We perform direct numerical simulations of shock-wave/boundary-layer
interactions (SBLI) at Mach number M = 1.7 to investigate the influence of the
state of the incoming boundary layer on the interaction properties. We
reproduce and extend the flow conditions of the experiments performed by
Giepman et al., in which a... | 0 | 1 | 0 | 0 | 0 | 0 |
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations | Latent factor models for recommender systems represent users and items as low
dimensional vectors. Privacy risks of such systems have previously been studied
mostly in the context of recovery of personal information in the form of usage
records from the training data. However, the user representations themselves
may ... | 0 | 0 | 0 | 1 | 0 | 0 |
Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage | We establish large sample approximations for an arbitray number of bilinear
forms of the sample variance-covariance matrix of a high-dimensional vector
time series using $ \ell_1$-bounded and small $\ell_2$-bounded weighting
vectors. Estimation of the asymptotic covariance structure is also discussed.
The results hol... | 0 | 0 | 1 | 1 | 0 | 0 |
Bayesian Paragraph Vectors | Word2vec (Mikolov et al., 2013) has proven to be successful in natural
language processing by capturing the semantic relationships between different
words. Built on top of single-word embeddings, paragraph vectors (Le and
Mikolov, 2014) find fixed-length representations for pieces of text with
arbitrary lengths, such... | 1 | 0 | 0 | 1 | 0 | 0 |
Subset Synchronization in Monotonic Automata | We study extremal and algorithmic questions of subset and careful
synchronization in monotonic automata. We show that several synchronization
problems that are hard in general automata can be solved in polynomial time in
monotonic automata, even without knowing a linear order of the states preserved
by the transition... | 1 | 0 | 0 | 0 | 0 | 0 |
Architecture of Text Mining Application in Analyzing Public Sentiments of West Java Governor Election using Naive Bayes Classification | The selection of West Java governor is one event that seizes the attention of
the public is no exception to social media users. Public opinion on a
prospective regional leader can help predict electability and tendency of
voters. Data that can be used by the opinion mining process can be obtained
from Twitter. Becaus... | 1 | 0 | 0 | 0 | 0 | 0 |
Ray: A Distributed Framework for Emerging AI Applications | The next generation of AI applications will continuously interact with the
environment and learn from these interactions. These applications impose new
and demanding systems requirements, both in terms of performance and
flexibility. In this paper, we consider these requirements and present Ray---a
distributed system... | 1 | 0 | 0 | 1 | 0 | 0 |
A blockchain-based Decentralized System for proper handling of temporary Employment contracts | Temporary work is an employment situation useful and suitable in all
occasions in which business needs to adjust more easily and quickly to workload
fluctuations or maintain staffing flexibility. Temporary workers play therefore
an important role in many companies, but this kind of activity is subject to a
special fo... | 1 | 0 | 0 | 0 | 0 | 0 |
Valley polarized relaxation and upconversion luminescence from Tamm-Plasmon Trion-Polaritons with a MoSe2 monolayer | Transition metal dichalcogenides represent an ideal testbed to study
excitonic effects, spin-related phenomena and fundamental light-matter coupling
in nanoscopic condensed matter systems. In particular, the valley degree of
freedom, which is unique to such direct band gap monolayers with broken
inversion symmetry, a... | 0 | 1 | 0 | 0 | 0 | 0 |
Machine learning based localization and classification with atomic magnetometers | We demonstrate identification of position, material, orientation and shape of
objects imaged by an $^{85}$Rb atomic magnetometer performing electromagnetic
induction imaging supported by machine learning. Machine learning maximizes the
information extracted from the images created by the magnetometer,
demonstrating t... | 0 | 1 | 0 | 0 | 0 | 0 |
On the difficulty of finding spines | We prove that the set of symplectic lattices in the Siegel space
$\mathfrak{h}_g$ whose systoles generate a subspace of dimension at least 3 in
$\mathbb{R}^{2g}$ does not contain any $\mathrm{Sp}(2g,\mathbb{Z})$-equivariant
deformation retract of $\mathfrak{h}_g$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Distributed Decoding of Convolutional Network Error Correction Codes | A Viterbi-like decoding algorithm is proposed in this paper for generalized
convolutional network error correction coding. Different from classical Viterbi
algorithm, our decoding algorithm is based on minimum error weight rather than
the shortest Hamming distance between received and sent sequences. Network
errors m... | 1 | 0 | 0 | 0 | 0 | 0 |
Temperature induced phase transition from cycloidal to collinear antiferromagnetism in multiferroic Bi$_{0.9}$Sm$_{0.1}$FeO$_3$ driven by $f$-$d$ induced magnetic anisotropy | In multiferroic BiFeO$_3$ a cycloidal antiferromagnetic structure is coupled
to a large electric polarization at room temperature, giving rise to
magnetoelectric functionality that may be exploited in novel multiferroic-based
devices. In this paper, we demonstrate that by substituting samarium for 10% of
the bismuth ... | 0 | 1 | 0 | 0 | 0 | 0 |
POSEYDON - Converting the DAFNE Collider into a double Positron Facility: a High Duty-Cycle pulse stretcher and a storage ring | This project proposes to reuse the DAFNE accelerator complex for producing a
high intensity (up to 10^10), high-quality beam of high-energy (up to 500 MeV)
positrons for HEP experiments, mainly - but not only - motivated by light dark
particles searches. Such a facility would provide a unique source of
ultra-relativi... | 0 | 1 | 0 | 0 | 0 | 0 |
Phase diagram of hydrogen and a hydrogen-helium mixture at planetary conditions by Quantum Monte Carlo simulations | Understanding planetary interiors is directly linked to our ability of
simulating exotic quantum mechanical systems such as hydrogen (H) and
hydrogen-helium (H-He) mixtures at high pressures and temperatures. Equations
of State (EOSs) tables based on Density Functional Theory (DFT), are commonly
used by planetary sci... | 0 | 1 | 0 | 0 | 0 | 0 |
Identifying exogenous and endogenous activity in social media | The occurrence of new events in a system is typically driven by external
causes and by previous events taking place inside the system. This is a general
statement, applying to a range of situations including, more recently, to the
activity of users in Online social networks (OSNs). Here we develop a method
for extrac... | 1 | 0 | 0 | 0 | 0 | 0 |
Water flow in Carbon and Silicon Carbide nanotubes | In this work the conduction of ion-water solution through two discrete
bundles of armchair carbon and silicon carbide nanotubes, as useful membranes
for water desalination, is studied. In order that studies on different types of
nanotubes be comparable, the chiral vectors of C and Si-C nanotubes are
selected as (7,7)... | 0 | 1 | 0 | 0 | 0 | 0 |
Multidimensional extremal dependence coefficients | Extreme values modeling has attracting the attention of researchers in
diverse areas such as the environment, engineering, or finance. Multivariate
extreme value distributions are particularly suitable to model the tails of
multidimensional phenomena. The analysis of the dependence among multivariate
maxima is useful... | 0 | 0 | 1 | 1 | 0 | 0 |
A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas | Systems subject to uncertain inputs produce uncertain responses. Uncertainty
quantification (UQ) deals with the estimation of statistics of the system
response, given a computational model of the system and a probabilistic model
of its inputs. In engineering applications it is common to assume that the
inputs are mut... | 0 | 0 | 0 | 1 | 0 | 0 |
Pachinko Prediction: A Bayesian method for event prediction from social media data | The combination of large open data sources with machine learning approaches
presents a potentially powerful way to predict events such as protest or social
unrest. However, accounting for uncertainty in such models, particularly when
using diverse, unstructured datasets such as social media, is essential to
guarantee... | 1 | 0 | 0 | 0 | 0 | 0 |
A Digital Hardware Fast Algorithm and FPGA-based Prototype for a Novel 16-point Approximate DCT for Image Compression Applications | The discrete cosine transform (DCT) is the key step in many image and video
coding standards. The 8-point DCT is an important special case, possessing
several low-complexity approximations widely investigated. However, 16-point
DCT transform has energy compaction advantages. In this sense, this paper
presents a new 1... | 1 | 0 | 0 | 1 | 0 | 0 |
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice | It is well known that the initialization of weights in deep neural networks
can have a dramatic impact on learning speed. For example, ensuring the mean
squared singular value of a network's input-output Jacobian is $O(1)$ is
essential for avoiding the exponential vanishing or explosion of gradients. The
stronger con... | 1 | 0 | 0 | 1 | 0 | 0 |
Singular perturbation for abstract elliptic equations and application | Boundary value problem for complete second order elliptic equation is
considered in Banach space. The equation and boundary conditions involve a
small and spectral parameter. The uniform L_{p}-regularity properties with
respect to space variable and parameters are established. Here, the explicit
formula for the solut... | 0 | 0 | 1 | 0 | 0 | 0 |
Pruning and Nonparametric Multiple Change Point Detection | Change point analysis is a statistical tool to identify homogeneity within
time series data. We propose a pruning approach for approximate nonparametric
estimation of multiple change points. This general purpose change point
detection procedure `cp3o' applies a pruning routine within a dynamic program
to greatly redu... | 0 | 0 | 0 | 1 | 0 | 0 |
Context encoding enables machine learning-based quantitative photoacoustics | Real-time monitoring of functional tissue parameters, such as local blood
oxygenation, based on optical imaging could provide groundbreaking advances in
the diagnosis and interventional therapy of various diseases. While
photoacoustic (PA) imaging is a novel modality with great potential to measure
optical absorption... | 1 | 1 | 0 | 0 | 0 | 0 |
Simulating the interaction between a falling super-quadric object and a soap film | The interaction that occurs between a light solid object and a horizontal
soap film of a bamboo foam contained in a cylindrical tube is simulated in 3D.
We vary the shape of the falling object from a sphere to a cube by changing a
single shape parameter as well as varying the initial orientation and position
of the o... | 0 | 1 | 0 | 0 | 0 | 0 |
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach | Compared with relational database (RDB), graph database (GDB) is a more
intuitive expression of the real world. Each node in the GDB is a both storage
and logic unit. Since it is connected to its neighboring nodes through edges,
and its neighboring information could be easily obtained in one-step graph
traversal. It ... | 1 | 0 | 0 | 0 | 0 | 0 |
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm | In this paper, we present an algorithm for the sparse signal recovery problem
that incorporates damped Gaussian generalized approximate message passing
(GGAMP) into Expectation-Maximization (EM)-based sparse Bayesian learning
(SBL). In particular, GGAMP is used to implement the E-step in SBL in place of
matrix invers... | 1 | 0 | 0 | 1 | 0 | 0 |
Sub-Nanometer Channels Embedded in Two-Dimensional Materials | Two-dimensional (2D) materials are among the most promising candidates for
next-generation electronics due to their atomic thinness, allowing for flexible
transparent electronics and ultimate length scaling. Thus far, atomically-thin
p-n junctions, metal-semiconductor contacts, and metal-insulator barriers have
been ... | 0 | 1 | 0 | 0 | 0 | 0 |
Emotion in Reinforcement Learning Agents and Robots: A Survey | This article provides the first survey of computational models of emotion in
reinforcement learning (RL) agents. The survey focuses on agent/robot emotions,
and mostly ignores human user emotions. Emotions are recognized as functional
in decision-making by influencing motivation and action selection. Therefore,
compu... | 1 | 0 | 0 | 1 | 0 | 0 |
Tensor Networks in a Nutshell | Tensor network methods are taking a central role in modern quantum physics
and beyond. They can provide an efficient approximation to certain classes of
quantum states, and the associated graphical language makes it easy to describe
and pictorially reason about quantum circuits, channels, protocols, open
systems and ... | 0 | 1 | 0 | 0 | 0 | 0 |
Cheryl's Birthday | We present four logic puzzles and after that their solutions. Joseph Yeo
designed 'Cheryl's Birthday'. Mike Hartley came up with a novel solution for
'One Hundred Prisoners and a Light Bulb'. Jonathan Welton designed 'A Blind
Guess' and 'Abby's Birthday'. Hans van Ditmarsch and Barteld Kooi authored the
puzzlebook 'O... | 1 | 0 | 0 | 0 | 0 | 0 |
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow | Exploration bonus derived from the novelty of the states in an environment
has become a popular approach to motivate exploration for deep reinforcement
learning agents in the past few years. Recent methods such as curiosity-driven
exploration usually estimate the novelty of new observations by the prediction
errors o... | 1 | 0 | 0 | 0 | 0 | 0 |
Lenient Multi-Agent Deep Reinforcement Learning | Much of the success of single agent deep reinforcement learning (DRL) in
recent years can be attributed to the use of experience replay memories (ERM),
which allow Deep Q-Networks (DQNs) to be trained efficiently through sampling
stored state transitions. However, care is required when using ERMs for
multi-agent deep... | 1 | 0 | 0 | 0 | 0 | 0 |
A New Framework for Synthetic Aperture Sonar Micronavigation | Synthetic aperture imaging systems achieve constant azimuth resolution by
coherently summating the observations acquired along the aperture path. At this
aim, their locations have to be known with subwavelength accuracy. In
underwater Synthetic Aperture Sonar (SAS), the nature of propagation and
navigation in water m... | 1 | 0 | 0 | 0 | 0 | 0 |
Emotionalism within People-Oriented Software Design | In designing most software applications, much effort is placed upon the
functional goals, which make a software system useful. However, the failure to
consider emotional goals, which make a software system pleasurable to use, can
result in disappointment and system rejection even if utilitarian goals are
well impleme... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantifying the Estimation Error of Principal Components | Principal component analysis is an important pattern recognition and
dimensionality reduction tool in many applications. Principal components are
computed as eigenvectors of a maximum likelihood covariance $\widehat{\Sigma}$
that approximates a population covariance $\Sigma$, and these eigenvectors are
often used to ... | 0 | 0 | 1 | 1 | 0 | 0 |
On Convex Programming Relaxations for the Permanent | In recent years, several convex programming relaxations have been proposed to
estimate the permanent of a non-negative matrix, notably in the works of
Gurvits and Samorodnitsky. However, the origins of these relaxations and their
relationships to each other have remained somewhat mysterious. We present a
conceptual f... | 1 | 0 | 1 | 0 | 0 | 0 |
Many cubic surfaces contain rational points | Building on recent work of Bhargava--Elkies--Schnidman and Kriz--Li, we
produce infinitely many smooth cubic surfaces defined over the field of
rational numbers that contain rational points.
| 0 | 0 | 1 | 0 | 0 | 0 |
Representation learning of drug and disease terms for drug repositioning | Drug repositioning (DR) refers to identification of novel indications for the
approved drugs. The requirement of huge investment of time as well as money and
risk of failure in clinical trials have led to surge in interest in drug
repositioning. DR exploits two major aspects associated with drugs and
diseases: existe... | 1 | 0 | 0 | 0 | 0 | 0 |
Analysis of a remarkable singularity in a nonlinear DDE | In this work we investigate the dynamics of the nonlinear DDE
(delay-differential equation)
x''(t)+x(t-T)+x(t)^3=0
where T is the delay. For T=0 this system is conservative and exhibits no
limit cycles. For T>0, no matter how small, an infinite number of limit cycles
exist, their amplitudes going to infinity in the l... | 0 | 1 | 1 | 0 | 0 | 0 |
Characterization of Lipschitz functions in terms of variable exponent Lebesgue spaces | Our aim is to characterize the Lipschitz functions by variable exponent
Lebesgue spaces. We give some characterizations of the boundedness of the
maximal or nonlinear commutators of the Hardy-Littlewood maximal function and
sharp maximal function in variable exponent Lebesgue spaces when the symbols
$b$ belong to the... | 0 | 0 | 1 | 0 | 0 | 0 |
Superconductivity Induced by Interfacial Coupling to Magnons | We consider a thin normal metal sandwiched between two ferromagnetic
insulators. At the interfaces, the exchange coupling causes electrons within
the metal to interact with magnons in the insulators. This electron-magnon
interaction induces electron-electron interactions, which, in turn, can result
in p-wave supercon... | 0 | 1 | 0 | 0 | 0 | 0 |
Privacy Assessment of De-identified Opal Data: A report for Transport for NSW | We consider the privacy implications of public release of a de-identified
dataset of Opal card transactions. The data was recently published at
this https URL. It
consists of tap-on and tap-off counts for NSW's four modes of public transport,
collected over two separate week-long periods. The data has been further
tr... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Importance of Correlations in Rational Choice: A Case for Non-Nashian Game Theory | The Nash equilibrium paradigm, and Rational Choice Theory in general, rely on
agents acting independently from each other. This note shows how this
assumption is crucial in the definition of Rational Choice Theory. It explains
how a consistent Alternate Rational Choice Theory, as suggested by Jean-Pierre
Dupuy, can b... | 1 | 0 | 0 | 0 | 0 | 0 |
Reliable estimation of prediction uncertainty for physico-chemical property models | The predictions of parameteric property models and their uncertainties are
sensitive to systematic errors such as inconsistent reference data, parametric
model assumptions, or inadequate computational methods. Here, we discuss the
calibration of property models in the light of bootstrapping, a sampling method
akin to... | 0 | 1 | 0 | 0 | 0 | 0 |
Rethinking Split Manufacturing: An Information-Theoretic Approach with Secure Layout Techniques | Split manufacturing is a promising technique to defend against fab-based
malicious activities such as IP piracy, overbuilding, and insertion of hardware
Trojans. However, a network flow-based proximity attack, proposed by Wang et
al. (DAC'16) [1], has demonstrated that most prior art on split manufacturing
is highly ... | 1 | 0 | 0 | 0 | 0 | 0 |
Unsupervised robotic sorting: Towards autonomous decision making robots | Autonomous sorting is a crucial task in industrial robotics which can be very
challenging depending on the expected amount of automation. Usually, to decide
where to sort an object, the system needs to solve either an instance retrieval
(known object) or a supervised classification (predefined set of classes)
problem... | 1 | 0 | 0 | 0 | 0 | 0 |
Beyond Whittle: Nonparametric correction of a parametric likelihood with a focus on Bayesian time series analysis | The Whittle likelihood is widely used for Bayesian nonparametric estimation
of the spectral density of stationary time series. However, the loss of
efficiency for non-Gaussian time series can be substantial. On the other hand,
parametric methods are more powerful if the model is well-specified, but may
fail entirely ... | 0 | 0 | 0 | 1 | 0 | 0 |
A consistent approach to unstructured mesh generation for geophysical models | Geophysical model domains typically contain irregular, complex fractal-like
boundaries and physical processes that act over a wide range of scales.
Constructing geographically constrained boundary-conforming spatial
discretizations of these domains with flexible use of anisotropically, fully
unstructured meshes is a ... | 1 | 1 | 0 | 0 | 0 | 0 |
Metric Map Merging using RFID Tags & Topological Information | A map merging component is crucial for the proper functionality of a
multi-robot system performing exploration, since it provides the means to
integrate and distribute the most important information carried by the agents:
the explored-covered space and its exact (depending on the SLAM accuracy)
morphology. Map mergin... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Local Feature Aggregation Functions with Backpropagation | This paper introduces a family of local feature aggregation functions and a
novel method to estimate their parameters, such that they generate optimal
representations for classification (or any task that can be expressed as a cost
function minimization problem). To achieve that, we compose the local feature
aggregati... | 1 | 0 | 0 | 1 | 0 | 0 |
Sub-harmonic Injection Locking in Metronomes | In this paper, we demonstrate sub-harmonic injection locking (SHIL) in
mechanical metronomes. To do so, we first formulate metronome's physical
compact model, focusing on its nonlinear terms for friction and the escapement
mechanism. Then we analyze metronomes using phase-macromodel-based techniques
and show that the... | 0 | 1 | 0 | 0 | 0 | 0 |
Spin Seebeck effect in a polar antiferromagnet $α$-Cu$_{2}$V$_{2}$O$_{7}$ | We have studied the longitudinal spin Seebeck effect in a polar
antiferromagnet $\alpha$-Cu$_{2}$V$_{2}$O$_{7}$ in contact with a Pt film.
Below the antiferromagnetic transition temperature of
$\alpha$-Cu$_{2}$V$_{2}$O$_{7}$, spin Seebeck voltages whose magnetic field
dependence is similar to that reported in antifer... | 0 | 1 | 0 | 0 | 0 | 0 |
Mackey algebras which are Gorenstein | We complete the picture available in the literature by showing that the
integral Mackey algebra is Gorenstein if and only if the group order is
square-free, in which case it must have Gorenstein dimension one. We illustrate
this result by looking in details at the examples of the cyclic group of order
four and the Kl... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficient acquisition rules for model-based approximate Bayesian computation | Approximate Bayesian computation (ABC) is a method for Bayesian inference
when the likelihood is unavailable but simulating from the model is possible.
However, many ABC algorithms require a large number of simulations, which can
be costly. To reduce the computational cost, Bayesian optimisation (BO) and
surrogate mo... | 0 | 0 | 0 | 1 | 0 | 0 |
Active Learning for Regression Using Greedy Sampling | Regression problems are pervasive in real-world applications. Generally a
substantial amount of labeled samples are needed to build a regression model
with good generalization ability. However, many times it is relatively easy to
collect a large number of unlabeled samples, but time-consuming or expensive to
label th... | 0 | 0 | 0 | 1 | 0 | 0 |
Centroid estimation based on symmetric KL divergence for Multinomial text classification problem | We define a new method to estimate centroid for text classification based on
the symmetric KL-divergence between the distribution of words in training
documents and their class centroids. Experiments on several standard data sets
indicate that the new method achieves substantial improvements over the
traditional clas... | 0 | 0 | 0 | 1 | 0 | 0 |
Rapid Near-Neighbor Interaction of High-dimensional Data via Hierarchical Clustering | Calculation of near-neighbor interactions among high dimensional, irregularly
distributed data points is a fundamental task to many graph-based or
kernel-based machine learning algorithms and applications. Such calculations,
involving large, sparse interaction matrices, expose the limitation of
conventional data-and-... | 1 | 0 | 0 | 0 | 0 | 0 |
Evolution and Recent Developments of the Gaseous Photon Detectors Technologies | The evolution and the present status of the gaseous photon detectors
technologies are reviewed. The most recent developments in several branches of
the field are described, in particular the installation and commissioning of
the first large area MPGD-based detectors of single photons on COMPASS RICH-1.
Investigation ... | 0 | 1 | 0 | 0 | 0 | 0 |
Superconducting Qubit-Resonator-Atom Hybrid System | We propose a hybrid quantum system, where an $LC$ resonator inductively
interacts with a flux qubit and is capacitively coupled to a Rydberg atom.
Varying the external magnetic flux bias controls the flux-qubit flipping and
the flux qubit-resonator interface. The atomic spectrum is tuned via an
electrostatic field, m... | 0 | 1 | 0 | 0 | 0 | 0 |
Heroes and Zeroes: Predicting the Impact of New Video Games on Twitch.tv | Video games and the playing thereof have been a fixture of American culture
since their introduction in the arcades of the 1980s. However, it was not until
the recent proliferation of broadband connections robust and fast enough to
handle live video streaming that players of video games have transitioned from
a conte... | 1 | 0 | 0 | 0 | 0 | 0 |
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study | Learning the latent representation of data in unsupervised fashion is a very
interesting process that provides relevant features for enhancing the
performance of a classifier. For speech emotion recognition tasks, generating
effective features is crucial. Currently, handcrafted features are mostly used
for speech emo... | 1 | 0 | 0 | 1 | 0 | 0 |
Insense: Incoherent Sensor Selection for Sparse Signals | Sensor selection refers to the problem of intelligently selecting a small
subset of a collection of available sensors to reduce the sensing cost while
preserving signal acquisition performance. The majority of sensor selection
algorithms find the subset of sensors that best recovers an arbitrary signal
from a number ... | 1 | 0 | 0 | 0 | 0 | 0 |
Discrete Distribution for a Wiener Process Range and its Properties | We introduce the discrete distribution of a Wiener process range. Rather than
finding some basic distributional properties including hazard rate function,
moments, Stress-strength parameter and order statistics of this distribution,
this work studies some basic properties of the truncated version of this
distribution... | 0 | 0 | 1 | 1 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.