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 |
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The Brown-Peterson spectrum is not $E_{2(p^2+2)}$ at odd primes | Recently, Lawson has shown that the 2-primary Brown-Peterson spectrum does
not admit the structure of an $E_{12}$ ring spectrum, thus answering a question
of May in the negative. We extend Lawson's result to odd primes by proving that
the p-primary Brown-Peterson spectrum does not admit the structure of an
$E_{2(p^2+... | 0 | 0 | 1 | 0 | 0 | 0 |
Beliefs in Markov Trees - From Local Computations to Local Valuation | This paper is devoted to expressiveness of hypergraphs for which uncertainty
propagation by local computations via Shenoy/Shafer method applies. It is
demonstrated that for this propagation method for a given joint belief
distribution no valuation of hyperedges of a hypergraph may provide with
simpler hypergraph stru... | 1 | 0 | 0 | 0 | 0 | 0 |
A model for random fire induced tree-grass coexistence in savannas | Tree-grass coexistence in savanna ecosystems depends strongly on
environmental disturbances out of which crucial is fire. Most modeling attempts
in the literature lack stochastic approach to fire occurrences which is
essential to reflect their unpredictability. Existing models that actually
include stochasticity of f... | 0 | 0 | 0 | 0 | 1 | 0 |
A depth-based method for functional time series forecasting | An approach is presented for making predictions about functional time series.
The method is applied to data coming from periodically correlated processes and
electricity demand, obtaining accurate point forecasts and narrow prediction
bands that cover high proportions of the forecasted functional datum, for a
given c... | 0 | 0 | 0 | 1 | 0 | 0 |
Dihedral Molecular Configurations Interacting by Lennard-Jones and Coulomb Forces | In this paper, we investigate periodic vibrations of a group of particles
with a dihedral configuration in the plane governed by the Lennard-Jones and
Coulomb forces. Using the gradient equivariant degree, we provide a full
topological classification of the periodic solutions with both temporal and
spatial symmetries... | 0 | 0 | 1 | 0 | 0 | 0 |
Understanding news story chains using information retrieval and network clustering techniques | Content analysis of news stories (whether manual or automatic) is a
cornerstone of the communication studies field. However, much research is
conducted at the level of individual news articles, despite the fact that news
events (especially significant ones) are frequently presented as "stories" by
news outlets: chain... | 1 | 0 | 0 | 0 | 0 | 0 |
Fair Kernel Learning | New social and economic activities massively exploit big data and machine
learning algorithms to do inference on people's lives. Applications include
automatic curricula evaluation, wage determination, and risk assessment for
credits and loans. Recently, many governments and institutions have raised
concerns about th... | 0 | 0 | 0 | 1 | 0 | 0 |
Underwater Surveying via Bearing only Cooperative Localization | Bearing only cooperative localization has been used successfully on aerial
and ground vehicles. In this paper we present an extension of the approach to
the underwater domain. The focus is on adapting the technique to handle the
challenging visibility conditions underwater. Furthermore, data from inertial,
magnetic, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Sterile Neutrinos and B-L Symmetry | We revisit the relation between the neutrino masses and the spontaneous
breaking of the B-L gauge symmetry. We discuss the main scenarios for Dirac and
Majorana neutrinos and point out two simple mechanisms for neutrino masses. In
this context the neutrino masses can be generated either at tree level or at
quantum le... | 0 | 1 | 0 | 0 | 0 | 0 |
Effects of parametric uncertainties in cascaded open quantum harmonic oscillators and robust generation of Gaussian invariant states | This paper is concerned with the generation of Gaussian invariant states in
cascades of open quantum harmonic oscillators governed by linear quantum
stochastic differential equations. We carry out infinitesimal perturbation
analysis of the covariance matrix for the invariant Gaussian state of such a
system and the re... | 1 | 0 | 1 | 0 | 0 | 0 |
A computer-based recursion algorithm for automatic charge of power device of electric vehicles carrying electromagnet | This paper proposes a computer-based recursion algorithm for automatic charge
of power device of electric vehicles carrying electromagnet. The charging
system includes charging cable with one end connecting gang socket,
electromagnetic gear driving the connecting socket and a charging pile breaking
or closing, and de... | 1 | 0 | 0 | 0 | 0 | 0 |
Abelian Tensor Models on the Lattice | We consider a chain of Abelian Klebanov-Tarnopolsky fermionic tensor models
coupled through quartic nearest-neighbor interactions. We characterize the
gauge-singlet spectrum for small chains ($L=2,3,4,5$) and observe that the
spectral statistics exhibits strong evidences in favor of quasi-many body
localization.
| 0 | 1 | 0 | 0 | 0 | 0 |
Distance-based Confidence Score for Neural Network Classifiers | The reliable measurement of confidence in classifiers' predictions is very
important for many applications and is, therefore, an important part of
classifier design. Yet, although deep learning has received tremendous
attention in recent years, not much progress has been made in quantifying the
prediction confidence ... | 1 | 0 | 0 | 1 | 0 | 0 |
Benford analysis of quantum critical phenomena: First digit provides high finite-size scaling exponent while first two and further are not much better | Benford's law is an empirical edict stating that the lower digits appear more
often than higher ones as the first few significant digits in statistics of
natural phenomena and mathematical tables. A marked proportion of such analyses
is restricted to the first significant digit. We employ violation of Benford's
law, ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI | Two popular classes of methods for approximate inference are Markov chain
Monte Carlo (MCMC) and variational inference. MCMC tends to be accurate if run
for a long enough time, while variational inference tends to give better
approximations at shorter time horizons. However, the amount of time needed for
MCMC to exce... | 1 | 0 | 0 | 1 | 0 | 0 |
Making Sense of Bell's Theorem and Quantum Nonlocality | Bell's theorem has fascinated physicists and philosophers since his 1964
paper, which was written in response to the 1935 paper of Einstein, Podolsky,
and Rosen. Bell's theorem and its many extensions have led to the claim that
quantum mechanics and by inference nature herself are nonlocal in the sense
that a measure... | 0 | 1 | 0 | 0 | 0 | 0 |
On Some properties of dyadic operators | In this paper, the objects of our investigation are some dyadic operators,
including dyadic shifts, multilinear paraproducts and multilinear Haar
multipliers. We mainly focus on the continuity and compactness of these
operators. First, we consider the continuity properties of these operators.
Then, by the Fréchet-Kol... | 0 | 0 | 1 | 0 | 0 | 0 |
Rationalizability and Epistemic Priority Orderings | At the beginning of a dynamic game, players may have exogenous theories about
how the opponents are going to play. Suppose that these theories are commonly
known. Then, players will refine their first-order beliefs, and challenge their
own theories, through strategic reasoning. I develop and characterize
epistemicall... | 1 | 0 | 0 | 0 | 0 | 0 |
Communications for Wearable Devices | Wearable devices are transforming computing and the human-computer
interaction and they are a primary means for motion recognition of reflexive
systems. We review basic wearable deployments and their open wireless
communications. An algorithm that uses accelerometer data to provide a control
and communication signal ... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonlocal Nonlinear Schrödinger Equations and Their Soliton Solutions | We study standard and nonlocal nonlinear Schrödinger (NLS) equations
obtained from the coupled NLS system of equations (Ablowitz-Kaup-Newell-Segur
(AKNS) equations) by using standard and nonlocal reductions respectively. By
using the Hirota bilinear method we first find soliton solutions of the coupled
NLS system of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning | Prediction is an appealing objective for self-supervised learning of
behavioral skills, particularly for autonomous robots. However, effectively
utilizing predictive models for control, especially with raw image inputs,
poses a number of major challenges. How should the predictions be used? What
happens when they are... | 1 | 0 | 0 | 0 | 0 | 0 |
S-Isomap++: Multi Manifold Learning from Streaming Data | Manifold learning based methods have been widely used for non-linear
dimensionality reduction (NLDR). However, in many practical settings, the need
to process streaming data is a challenge for such methods, owing to the high
computational complexity involved. Moreover, most methods operate under the
assumption that t... | 1 | 0 | 0 | 1 | 0 | 0 |
Extreme radio-wave scattering associated with hot stars | We use data on extreme radio scintillation to demonstrate that this
phenomenon is associated with hot stars in the solar neighbourhood. The ionized
gas responsible for the scattering is found at distances up to 1.75pc from the
host star, and on average must comprise 1.E5 distinct structures per star. We
detect azimut... | 0 | 1 | 0 | 0 | 0 | 0 |
Tracking network dynamics: a survey of distances and similarity metrics | From longitudinal biomedical studies to social networks, graphs have emerged
as a powerful framework for describing evolving interactions between agents in
complex systems. In such studies, after pre-processing, the data can be
represented by a set of graphs, each representing a system's state at different
points in ... | 1 | 0 | 0 | 1 | 0 | 0 |
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces | Both neural networks and decision trees are popular machine learning methods
and are widely used to solve problems from diverse domains. These two
classifiers are commonly used base classifiers in an ensemble framework. In
this paper, we first present a new variant of oblique decision tree based on a
linear classifie... | 0 | 0 | 0 | 1 | 0 | 0 |
Graded components of local cohomology modules | Let $A$ be a regular ring containing a field of characteristic zero and let
$R = A[X_1,\ldots, X_m]$. Consider $R$ as standard graded with $deg \ A = 0$
and $deg \ X_i = 1$ for all $i$. In this paper we present a comprehensive study
of graded components of local cohomology modules $H^i_I(R)$ where $I$ is an
\emph{arb... | 0 | 0 | 1 | 0 | 0 | 0 |
Drug Selection via Joint Push and Learning to Rank | Selecting the right drugs for the right patients is a primary goal of
precision medicine. In this manuscript, we consider the problem of cancer drug
selection in a learning-to-rank framework. We have formulated the cancer drug
selection problem as to accurately predicting 1). the ranking positions of
sensitive drugs ... | 0 | 0 | 0 | 1 | 0 | 0 |
Two-dimensional electron gas at the interface of the ferroelectric-antiferromagnetic heterostructure Ba_0.8Sr_0.2TiO_3/LaMnO_3 | The temperature dependence of the electrical resistivity of the
heterostructures consisting of single crystalline LaMnO$_3$ samples with
different crystallographic orientations covered by the epitaxial ferroelectric
Ba$_{0.8}$Sr$_{0.2}$TiO$_3$ film has been studied. Results obtained for the
heterostructure have been ... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear Discriminant Generative Adversarial Networks | We develop a novel method for training of GANs for unsupervised and class
conditional generation of images, called Linear Discriminant GAN (LD-GAN). The
discriminator of an LD-GAN is trained to maximize the linear separability
between distributions of hidden representations of generated and targeted
samples, while th... | 1 | 0 | 0 | 1 | 0 | 0 |
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy | Monoclonal antibodies constitute one of the most important strategies to
treat patients suffering from cancers such as hematological malignancies and
solid tumors. In order to guarantee the quality of those preparations prepared
at hospital, quality control has to be developed. The aim of this study was to
explore a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Sequential noise-induced escapes for oscillatory network dynamics | It is well known that the addition of noise in a multistable system can
induce random transitions between stable states. The rate of transition can be
characterised in terms of the noise-free system's dynamics and the added noise:
for potential systems in the presence of asymptotically low noise the
well-known Kramer... | 0 | 1 | 0 | 0 | 0 | 0 |
Confluence of Conditional Term Rewrite Systems via Transformations | Conditional term rewriting is an intuitive yet complex extension of term
rewriting. In order to benefit from the simpler framework of unconditional
rewriting, transformations have been defined to eliminate the conditions of
conditional term rewrite systems.
Recent results provide confluence criteria for conditional t... | 1 | 0 | 0 | 0 | 0 | 0 |
Observation of Skyrmions at Room Temperature in Co2FeAl Heusler Alloy Ultrathin Films | Magnetic skyrmions are topological spin structures having immense potential
for energy efficient spintronic devices. However, observations of skyrmions at
room temperature are limited to patterned nanostructures. Here, we report the
observation of stable skyrmions in unpatterned Ta/Co2FeAl(CFA)/MgO thin film
heterost... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Nonparametric Spectral Estimation | Spectral estimation (SE) aims to identify how the energy of a signal (e.g., a
time series) is distributed across different frequencies. This can become
particularly challenging when only partial and noisy observations of the signal
are available, where current methods fail to handle uncertainty appropriately.
In this... | 0 | 0 | 0 | 1 | 0 | 0 |
Imprecise dynamic walking with time-projection control | We present a new walking foot-placement controller based on 3LP, a 3D model
of bipedal walking that is composed of three pendulums to simulate falling,
swing and torso dynamics. Taking advantage of linear equations and closed-form
solutions of the 3LP model, our proposed controller projects intermediate
states of the... | 1 | 0 | 0 | 0 | 0 | 0 |
Interplay of dilution and magnetic field in the nearest-neighbor spin-ice model on the pyrochlore lattice | We study the magnetic field effects on the diluted spin-ice materials using
the replica-exchange Monte Carlo simulation. We observe five plateaus in the
magnetization curve of the diluted nearest-neighbor spin-ice model on the
pyrochlore lattice when a magnetic field is applied in the [111] direction.
This is in cont... | 0 | 1 | 0 | 0 | 0 | 0 |
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process | An RNN-based forecasting approach is used to early detect anomalies in
industrial multivariate time series data from a simulated Tennessee Eastman
Process (TEP) with many cyber-attacks. This work continues a previously
proposed LSTM-based approach to the fault detection in simpler data. It is
considered necessary to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Modelling of limitations of bulk heterojunction architecture in organic solar cells | Polymer solar cells are considered as very promising candidates for
development of photovoltaics of the future. They are cheap and easy to
fabricate, however, up to now, they possess fundamental drawback, low
effectiveness. In the most popular BHJ (bulk heterojunction) architecture the
actual record of efficiency is ... | 0 | 1 | 0 | 0 | 0 | 0 |
Detecting singular weak-dissipation limit for flutter onset in reversible systems | A `flutter machine' is introduced for the investigation of a singular
interface between the classical and reversible Hopf bifurcations that is
theoretically predicted to be generic in nonconservative reversible systems
with vanishing dissipation. In particular, such a singular interface exists for
the Pflüger viscoel... | 0 | 1 | 0 | 0 | 0 | 0 |
A Hand Combining Two Simple Grippers to Pick up and Arrange Objects for Assembly | This paper proposes a novel robotic hand design for assembly tasks. The idea
is to combine two simple grippers -- an inner gripper which is used for precise
alignment, and an outer gripper which is used for stable holding. Conventional
robotic hands require complicated compliant mechanisms or complicated control
stra... | 1 | 0 | 0 | 0 | 0 | 0 |
A Time Hierarchy Theorem for the LOCAL Model | The celebrated Time Hierarchy Theorem for Turing machines states, informally,
that more problems can be solved given more time. The extent to which a time
hierarchy-type theorem holds in the distributed LOCAL model has been open for
many years. It is consistent with previous results that all natural problems in
the L... | 1 | 0 | 0 | 0 | 0 | 0 |
Second sound in systems of one-dimensional fermions | We study sound in Galilean invariant systems of one-dimensional fermions. At
low temperatures, we find a broad range of frequencies in which in addition to
the waves of density there is a second sound corresponding to ballistic
propagation of heat in the system. The damping of the second sound mode is
weak, provided ... | 0 | 1 | 0 | 0 | 0 | 0 |
The equational theory of the natural join and inner union is decidable | The natural join and the inner union operations combine relations of a
database. Tropashko and Spight [24] realized that these two operations are the
meet and join operations in a class of lattices, known by now as the relational
lattices. They proposed then lattice theory as an algebraic approach to the
theory of da... | 1 | 0 | 1 | 0 | 0 | 0 |
Doping-induced spin-orbit splitting in Bi-doped ZnO nanowires | Our predictions, based on density-functional calculations, reveal that
surface doping of ZnO nanowires with Bi leads to a linear-in-$k$ splitting of
the conduction-band states, through spin-orbit interaction, due to the lowering
of the symmetry in the presence of the dopant. This finding implies that spin
polarizatio... | 0 | 1 | 0 | 0 | 0 | 0 |
A robotic vision system to measure tree traits | The autonomous measurement of tree traits, such as branching structure,
branch diameters, branch lengths, and branch angles, is required for tasks such
as robotic pruning of trees as well as structural phenotyping. We propose a
robotic vision system called the Robotic System for Tree Shape Estimation
(RoTSE) to deter... | 1 | 0 | 0 | 0 | 0 | 0 |
Resolution enhancement in in-line holography by numerical compensation of vibrations | Mechanical vibrations of components of the optical system is one of the
sources of blurring of interference pattern in coherent imaging systems. The
problem is especially important in holography where the resolution of the
reconstructed objects depends on the effective size of the hologram, that is on
the extent of t... | 0 | 1 | 0 | 0 | 0 | 0 |
Embodied Question Answering | We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where
an agent is spawned at a random location in a 3D environment and asked a
question ("What color is the car?"). In order to answer, the agent must first
intelligently navigate to explore the environment, gather information through
first-perso... | 1 | 0 | 0 | 0 | 0 | 0 |
Toward Unsupervised Text Content Manipulation | Controlled generation of text is of high practical use. Recent efforts have
made impressive progress in generating or editing sentences with given textual
attributes (e.g., sentiment). This work studies a new practical setting of text
content manipulation. Given a structured record, such as `(PLAYER: Lebron,
POINTS: ... | 1 | 0 | 0 | 0 | 0 | 0 |
Unsupervised learning of object landmarks by factorized spatial embeddings | Learning automatically the structure of object categories remains an
important open problem in computer vision. In this paper, we propose a novel
unsupervised approach that can discover and learn landmarks in object
categories, thus characterizing their structure. Our approach is based on
factorizing image deformatio... | 1 | 0 | 0 | 1 | 0 | 0 |
Data-Efficient Design Exploration through Surrogate-Assisted Illumination | Design optimization techniques are often used at the beginning of the design
process to explore the space of possible designs. In these domains illumination
algorithms, such as MAP-Elites, are promising alternatives to classic
optimization algorithms because they produce diverse, high-quality solutions in
a single ru... | 0 | 0 | 0 | 1 | 0 | 0 |
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior | We present an application of deep generative models in the context of
partial-differential equation (PDE) constrained inverse problems. We combine a
generative adversarial network (GAN) representing an a priori model that
creates subsurface geological structures and their petrophysical properties,
with the numerical ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Capillary Surface with No Radial Limits | In 1996, Kirk Lancaster and David Siegel investigated the existence and
behavior of radial limits at a corner of the boundary of the domain of
solutions of capillary and other prescribed mean curvature problems with
contact angle boundary data. In Theorem 3, they provide an example of a
capillary surface in a unit di... | 0 | 0 | 1 | 0 | 0 | 0 |
Brain Computer Interface for Gesture Control of a Social Robot: an Offline Study | Brain computer interface (BCI) provides promising applications in
neuroprosthesis and neurorehabilitation by controlling computers and robotic
devices based on the patient's intentions. Here, we have developed a novel BCI
platform that controls a personalized social robot using noninvasively acquired
brain signals. S... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-agent Gaussian Process Motion Planning via Probabilistic Inference | This paper deals with motion planning for multiple agents by representing the
problem as a simultaneous optimization of every agent's trajectory. Each
trajectory is considered as a sample from a one-dimensional continuous-time
Gaussian process (GP) generated by a linear time-varying stochastic
differential equation d... | 1 | 0 | 0 | 0 | 0 | 0 |
Faster Algorithms for Mean-Payoff Parity Games | Graph games provide the foundation for modeling and synthesis of reactive
processes. Such games are played over graphs where the vertices are controlled
by two adversarial players. We consider graph games where the objective of the
first player is the conjunction of a qualitative objective (specified as a
parity cond... | 1 | 0 | 0 | 0 | 0 | 0 |
Similarity Function Tracking using Pairwise Comparisons | Recent work in distance metric learning has focused on learning
transformations of data that best align with specified pairwise similarity and
dissimilarity constraints, often supplied by a human observer. The learned
transformations lead to improved retrieval, classification, and clustering
algorithms due to the bet... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Boosted Regression for MR to CT Synthesis | Attenuation correction is an essential requirement of positron emission
tomography (PET) image reconstruction to allow for accurate quantification.
However, attenuation correction is particularly challenging for PET-MRI as
neither PET nor magnetic resonance imaging (MRI) can directly image tissue
attenuation properti... | 0 | 0 | 0 | 1 | 0 | 0 |
Discretisation of regularity structures | We introduce a general framework allowing to apply the theory of regularity
structures to discretisations of stochastic PDEs. The approach pursued in this
article is that we do not focus on any one specific discretisation procedure.
Instead, we assume that we are given a scale $\varepsilon > 0$ and a "black
box" desc... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimization of Wireless Power Transfer Systems Enhanced by Passive Elements and Metasurfaces | This paper presents a rigorous optimization technique for wireless power
transfer (WPT) systems enhanced by passive elements, ranging from simple
reflectors and intermedi- ate relays all the way to general electromagnetic
guiding and focusing structures, such as metasurfaces and metamaterials. At its
core is a convex... | 1 | 0 | 1 | 0 | 0 | 0 |
Sharpening Jensen's Inequality | This paper proposes a new sharpened version of the Jensen's inequality. The
proposed new bound is simple and insightful, is broadly applicable by imposing
minimum assumptions, and provides fairly accurate result in spite of its simple
form. Applications to the moment generating function, power mean inequalities,
and ... | 0 | 0 | 1 | 1 | 0 | 0 |
Knotted solutions, from electromagnetism to fluid dynamics | Knotted solutions to electromagnetism and fluid dynamics are investigated,
based on relations we find between the two subjects. We can write fluid
dynamics in electromagnetism language, but only on an initial surface, or for
linear perturbations, and we use this map to find knotted fluid solutions, as
well as new ele... | 0 | 1 | 0 | 0 | 0 | 0 |
On the intersection graph of ideals of $\mathbb{Z}_m$ | Let $m>1$ be an integer, and let $I(\mathbb{Z}_m)^*$ be the set of all
non-zero proper ideals of $\mathbb{Z}_m$. The intersection graph of ideals of
$\mathbb{Z}_m$, denoted by $G(\mathbb{Z}_m)$, is a graph with vertices
$I(\mathbb{Z}_m)^*$ and two distinct vertices $I,J\in I(\mathbb{Z}_m)^*$ are
adjacent if and only ... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimization of Executable Formal Interpreters developed in Higher-order Theorem Proving Systems | In recent publications, we presented a novel formal symbolic process virtual
machine (FSPVM) framework that combined higher-order theorem proving and
symbolic execution for verifying the reliability and security of smart
contracts developed in the Ethereum blockchain system without suffering the
standard issues surro... | 1 | 0 | 0 | 0 | 0 | 0 |
Healthcare Robotics | Robots have the potential to be a game changer in healthcare: improving
health and well-being, filling care gaps, supporting care givers, and aiding
health care workers. However, before robots are able to be widely deployed, it
is crucial that both the research and industrial communities work together to
establish a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Personalized Thread Recommendation for MOOC Discussion Forums | Social learning, i.e., students learning from each other through social
interactions, has the potential to significantly scale up instruction in online
education. In many cases, such as in massive open online courses (MOOCs),
social learning is facilitated through discussion forums hosted by course
providers. In this... | 1 | 0 | 0 | 1 | 0 | 0 |
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model | Background: Widespread adoption of electronic health records (EHRs) has
enabled secondary use of EHR data for clinical research and healthcare
delivery. Natural language processing (NLP) techniques have shown promise in
their capability to extract the embedded information in unstructured clinical
data, and informatio... | 1 | 0 | 0 | 0 | 0 | 0 |
The same strain of Piscine orthoreovirus (PRV-1) is involved with the development of different, but related, diseases in Atlantic and Pacific Salmon in British Columbia | Piscine orthoreovirus Strain PRV-1 is the causative agent of heart and
skeletal muscle inflammation (HSMI) in Atlantic salmon (Salmo salar). Given its
high prevalence in net pen salmon, debate has arisen on whether PRV poses a
risk to migratory salmon, especially in British Columbia (BC) where
commercially important ... | 0 | 0 | 0 | 0 | 1 | 0 |
Charge transfer and metallicity in LaNiO$_3$/LaMnO$_3$ superlattices | Motivated by recent experiments, we use the $+U$ extension of the generalized
gradient approximation to density functional theory to study superlattices
composed of alternating layers of LaNiO$_3$ and LaMnO$_3$. For comparison we
also study a rocksalt ((111) double perovskite) structure and bulk LaNiO$_3$
and LaMnO$_... | 0 | 1 | 0 | 0 | 0 | 0 |
On Learning the $cμ$ Rule in Single and Parallel Server Networks | We consider learning-based variants of the $c \mu$ rule for scheduling in
single and parallel server settings of multi-class queueing systems.
In the single server setting, the $c \mu$ rule is known to minimize the
expected holding-cost (weighted queue-lengths summed over classes and a fixed
time horizon). We focus o... | 1 | 0 | 0 | 0 | 0 | 0 |
Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions | In this report, some cosmological correlation functions are used to evaluate
the differential performance between C2075 and P100 GPU cards. In the past, the
correlation functions used in this work have been widely studied and exploited
on some previous GPU architectures. The analysis of the performance indicates
that... | 1 | 1 | 0 | 0 | 0 | 0 |
Crafting Adversarial Examples For Speech Paralinguistics Applications | Computational paralinguistic analysis is increasingly being used in a wide
range of cyber applications, including security-sensitive applications such as
speaker verification, deceptive speech detection, and medical diagnostics.
While state-of-the-art machine learning techniques, such as deep neural
networks, can pro... | 1 | 0 | 0 | 1 | 0 | 0 |
On the Analysis of Bacterial Cooperation with a Characterization of 2D Signal Propagation | The exchange of small molecular signals within microbial populations is
generally referred to as quorum sensing (QS). QS is ubiquitous in nature and
enables microorganisms to respond to fluctuations of living environments by
working together. In this work, a QS-based communication system within a
microbial population... | 0 | 0 | 0 | 0 | 1 | 0 |
The Ebb and Flow of Controversial Debates on Social Media | We explore how the polarization around controversial topics evolves on
Twitter - over a long period of time (2011 to 2016), and also as a response to
major external events that lead to increased related activity. We find that
increased activity is typically associated with increased polarization;
however, we find no ... | 1 | 1 | 0 | 0 | 0 | 0 |
Training of Deep Neural Networks based on Distance Measures using RMSProp | The vanishing gradient problem was a major obstacle for the success of deep
learning. In recent years it was gradually alleviated through multiple
different techniques. However the problem was not really overcome in a
fundamental way, since it is inherent to neural networks with activation
functions based on dot prod... | 1 | 0 | 0 | 1 | 0 | 0 |
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression | In high dimension, it is customary to consider Lasso-type estimators to
enforce sparsity. For standard Lasso theory to hold, the regularization
parameter should be proportional to the noise level, yet the latter is
generally unknown in practice. A possible remedy is to consider estimators,
such as the Concomitant/Sca... | 0 | 0 | 1 | 1 | 0 | 0 |
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging | We propose a novel automatic method for accurate segmentation of the prostate
in T2-weighted magnetic resonance imaging (MRI). Our method is based on
convolutional neural networks (CNNs). Because of the large variability in the
shape, size, and appearance of the prostate and the scarcity of annotated
training data, w... | 1 | 0 | 0 | 1 | 0 | 0 |
A note on signature of Lefschetz fibrations with planar fiber | Using theorems of Eliashberg and McDuff, Etnyre [Et] proved that the
intersection form of a symplectic filling of a contact 3-manifold supported by
planar open book is negative definite.
In this paper, we prove a signature formula for allowable Lefschetz
fibrations over $D^2$ with planar fiber by computing Maslov ind... | 0 | 0 | 1 | 0 | 0 | 0 |
Wild Bootstrapping Rank-Based Procedures: Multiple Testing in Nonparametric Split-Plot Designs | Split-plot or repeated measures designs are frequently used for planning
experiments in the life or social sciences. Typical examples include the
comparison of different treatments over time, where both factors may possess an
additional factorial structure. For such designs, the statistical analysis
usually consists ... | 0 | 0 | 1 | 1 | 0 | 0 |
Graphical Sequent Calculi for Modal Logics | The syntax of modal graphs is defined in terms of the continuous cut and
broken cut following Charles Peirce's notation in the gamma part of his
graphical logic of existential graphs. Graphical calculi for normal modal
logics are developed based on a reformulation of the graphical calculus for
classical propositional... | 1 | 0 | 0 | 0 | 0 | 0 |
Engineering a flux-dependent mobility edge in disordered zigzag chains | There has been great interest in realizing quantum simulators of charged
particles in artificial gauge fields. Here, we perform the first quantum
simulation explorations of the combination of artificial gauge fields and
disorder. Using synthetic lattice techniques based on parametrically-coupled
atomic momentum state... | 0 | 1 | 0 | 0 | 0 | 0 |
On the tensor semigroup of affine kac-moody lie algebras | In this paper, we are interested in the decomposition of the tensor product
of two representations of a symmetrizable Kac-Moody Lie algebra $\mathfrak g$.
Let $P\_+$ be the set of dominant integral weights. For $\lambda\in P\_+$ ,
$L(\lambda)$ denotes the irreducible, integrable, highest weight representation
of g wi... | 0 | 0 | 1 | 0 | 0 | 0 |
Electronic and Thermodynamic Properties of the Amino- and Carboxamido-Functionalized C-60-Based Fullerenes: Towards Non-Volatile Carbon Dioxide Scavengers | Development of new greenhouse gas scavengers is actively pursued nowadays.
Volatility caused solvent consumption and significant regeneration costs
associated with the aqueous amine solutions motivate search for more
technologically and economically advanced solutions. We hereby used hybrid
density functional theory ... | 0 | 1 | 0 | 0 | 0 | 0 |
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask | Singing voice separation based on deep learning relies on the usage of
time-frequency masking. In many cases the masking process is not a learnable
function or is not encapsulated into the deep learning optimization.
Consequently, most of the existing methods rely on a post processing step using
the generalized Wiene... | 1 | 0 | 0 | 0 | 0 | 0 |
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables | We study high-dimensional linear models with error-in-variables. Such models
are motivated by various applications in econometrics, finance and genetics.
These models are challenging because of the need to account for measurement
errors to avoid non-vanishing biases in addition to handle the high
dimensionality of th... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems | We show that given an estimate $\widehat{A}$ that is close to a general
high-rank positive semi-definite (PSD) matrix $A$ in spectral norm (i.e.,
$\|\widehat{A}-A\|_2 \leq \delta$), the simple truncated SVD of $\widehat{A}$
produces a multiplicative approximation of $A$ in Frobenius norm. This
observation leads to ma... | 0 | 0 | 1 | 1 | 0 | 0 |
Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition | When a human drives a car along a road for the first time, they later
recognize where they are on the return journey typically without needing to
look in their rear-view mirror or turn around to look back, despite significant
viewpoint and appearance change. Such navigation capabilities are typically
attributed to ou... | 1 | 0 | 0 | 0 | 0 | 0 |
Ultra-broadband On-chip Twisted Light Emitter | On-chip twisted light emitters are essential components for orbital angular
momentum (OAM) communication devices, which could address the growing demand
for high-capacity communication systems by providing an additional degree of
freedom for wavelength/frequency division multiplexing (WDM/FDM). Although
whispering ga... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear Additive Markov Processes | We introduce LAMP: the Linear Additive Markov Process. Transitions in LAMP
may be influenced by states visited in the distant history of the process, but
unlike higher-order Markov processes, LAMP retains an efficient
parametrization. LAMP also allows the specific dependence on history to be
learned efficiently from ... | 1 | 0 | 0 | 1 | 0 | 0 |
Radial and circular synchronization clusters in extended starlike network of van der Pol oscillators | We consider extended starlike networks where the hub node is coupled with
several chains of nodes representing star rays. Assuming that nodes of the
network are occupied by nonidentical self-oscillators we study various forms of
their cluster synchronization. Radial cluster emerges when the nodes are
synchronized alo... | 1 | 1 | 0 | 0 | 0 | 0 |
On the Fourth Power Moment of Fourier Coefficients of Cusp Form | Let $a(n)$ be the Fourier coefficients of a holomorphic cusp form of weight
$\kappa=2n\geqslant12$ for the full modular group and
$A(x)=\sum\limits_{n\leqslant x}a(n)$. In this paper, we establish an
asymptotic formula of the fourth power moment of $A(x)$ and prove that
\begin{equation*}
\int_1^TA^4(x)\mathrm{d}x=\fr... | 0 | 0 | 1 | 0 | 0 | 0 |
Provable benefits of representation learning | There is general consensus that learning representations is useful for a
variety of reasons, e.g. efficient use of labeled data (semi-supervised
learning), transfer learning and understanding hidden structure of data.
Popular techniques for representation learning include clustering, manifold
learning, kernel-learnin... | 1 | 0 | 0 | 1 | 0 | 0 |
TherML: Thermodynamics of Machine Learning | In this work we offer a framework for reasoning about a wide class of
existing objectives in machine learning. We develop a formal correspondence
between this work and thermodynamics and discuss its implications.
| 0 | 0 | 0 | 1 | 0 | 0 |
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach | With the advent of Big Data, nowadays in many applications databases
containing large quantities of similar time series are available. Forecasting
time series in these domains with traditional univariate forecasting procedures
leaves great potentials for producing accurate forecasts untapped. Recurrent
neural network... | 1 | 0 | 0 | 1 | 0 | 0 |
Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information | We introduce a new virtual environment for simulating a card game known as
"Big 2". This is a four-player game of imperfect information with a relatively
complicated action space (being allowed to play 1,2,3,4 or 5 card combinations
from an initial starting hand of 13 cards). As such it poses a challenge for
many cur... | 0 | 0 | 0 | 1 | 0 | 0 |
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms | We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images
of 70,000 fashion products from 10 categories, with 7,000 images per category.
The training set has 60,000 images and the test set has 10,000 images.
Fashion-MNIST is intended to serve as a direct drop-in replacement for the
original MNIST d... | 1 | 0 | 0 | 1 | 0 | 0 |
Experimental Evaluation of Book Drawing Algorithms | A $k$-page book drawing of a graph $G=(V,E)$ consists of a linear ordering of
its vertices along a spine and an assignment of each edge to one of the $k$
pages, which are half-planes bounded by the spine. In a book drawing, two edges
cross if and only if they are assigned to the same page and their vertices
alternate... | 1 | 0 | 0 | 0 | 0 | 0 |
Probing magnetism in the vortex phase of PuCoGa$_5$ by X-ray magnetic circular dichroism | We have measured X-ray magnetic circular dichroism (XMCD) spectra at the Pu
$M_{4,5}$ absorption edges from a newly-prepared high-quality single crystal of
the heavy fermion superconductor $^{242}$PuCoGa$_{5}$, exhibiting a critical
temperature $T_{c} = 18.7~{\rm K}$. The experiment probes the vortex phase
below $T_{... | 0 | 1 | 0 | 0 | 0 | 0 |
Joint secrecy over the K-Transmitter Multiple Access Channel | This paper studies the problem of secure communication over a K-transmitter
multiple access channel in the presence of an external eavesdropper, subject to
a joint secrecy constraint (i.e., information leakage rate from the collection
of K messages to an eavesdropper is made vanishing). As a result, we establish
the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonlinear Flexoelectricity in Non-centrosymmetric Crystals | We analytically derive the elastic, dielectric, piezoelectric, and the
flexoelectric phenomenological coefficients as functions of microscopic model
parameters such as ionic positions and spring constants in the two-dimensional
square-lattice model with rock-salt-type ionic arrangement. Monte-Carlo
simulation reveals... | 0 | 1 | 0 | 0 | 0 | 0 |
Well-posedness of nonlinear transport equation by stochastic perturbation | We are concerned with multidimensional nonlinear stochastic transport
equation driven by Brownian motions. For irregular fluxes, by using stochastic
BGK approximations and commutator estimates, we gain the existence and
uniqueness of stochastic entropy solutions. Besides, for $BV$ initial data, the
$BV$ and Hölder re... | 0 | 0 | 1 | 0 | 0 | 0 |
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