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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Logarithmic singularities and quantum oscillations in magnetically doped topological insulators | We report magnetotransport measurements on magnetically doped
(Bi,Sb)$_2$Te$_3$ films grown by molecular beam epitaxy. In Hallbar devices,
logarithmic dependence on temperature and bias voltage are obseved in both the
longitudinal and anomalous Hall resistance. The interplay of disorder and
electron-electron interact... | 0 | 1 | 0 | 0 | 0 | 0 |
A General Algorithm to Calculate the Inverse Principal $p$-th Root of Symmetric Positive Definite Matrices | We address the general mathematical problem of computing the inverse $p$-th
root of a given matrix in an efficient way. A new method to construct iteration
functions that allow calculating arbitrary $p$-th roots and their inverses of
symmetric positive definite matrices is presented. We show that the order of
converg... | 0 | 0 | 1 | 0 | 0 | 0 |
Latent Mixture Modeling for Clustered Data | This article proposes a mixture modeling approach to estimating cluster-wise
conditional distributions in clustered (grouped) data. We adapt the
mixture-of-experts model to the latent distributions, and propose a model in
which each cluster-wise density is represented as a mixture of latent experts
with cluster-wise ... | 0 | 0 | 0 | 1 | 0 | 0 |
Fast Switching Dual Fabry-Perot-Cavity-based Optical Refractometry for Assessment of Gas Refractivity and Density - Estimates of Its Precision, Accuracy, and Temperature Dependence | Dual Fabry-Perot-Cavity-based Optical Refractometry (DFCB-OR) have been shown
to have excellent potential for characterization of gases, in particular their
refractivity and density. However, its performance has in practice been found
to be limited by drifts. To remedy this, drift-free DFPC-OR (DF-DFCB-OR) has
recent... | 0 | 1 | 0 | 0 | 0 | 0 |
Dixmier traces and residues on weak operator ideals | We develop the theory of modulated operators in general principal ideals of
compact operators. For Laplacian modulated operators we establish Connes' trace
formula in its local Euclidean model and a global version thereof. It expresses
Dixmier traces in terms of the vector-valued Wodzicki residue. We demonstrate
the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Investigating early-type galaxy evolution with a multiwavelength approach. II. The UV structure of 11 galaxies with Swift-UVOT | GALEX detected a significant fraction of early-type galaxies showing Far-UV
bright structures. These features suggest the occurrence of recent star
formation episodes. We aim at understanding their evolutionary path[s] and the
mechanisms at the origin of their UV-bright structures. We investigate with a
multi-lambda ... | 0 | 1 | 0 | 0 | 0 | 0 |
Lazy Automata Techniques for WS1S | We present a new decision procedure for the logic WS1S. It originates from
the classical approach, which first builds an automaton accepting all models of
a formula and then tests whether its language is empty. The main novelty is to
test the emptiness on the fly, while constructing a symbolic, term-based
representat... | 1 | 0 | 0 | 0 | 0 | 0 |
Joint distribution of conjugate algebraic numbers: a random polynomial approach | Given a polynomial $q(z):=a_0+a_1z+\dots+a_nz^n$ and a vector of positive
weights $\mathbf{w}=(w_0, w_1,\dots,w_n)$, define the $\mathbf{w}$-weighted
$l_p$-norm of $q$ as $$ l_{p,\mathbf{w}}[q]:=\left(\sum_{k=0}^{n}|w_k
a_k|^p\right)^{1/p},\quad p\in[1,\infty]. $$ Define the $\mathbf{w}$-weighted
$l_p$-norm of an alg... | 0 | 0 | 1 | 0 | 0 | 0 |
On wrapping the Kalman filter and estimating with the SO(2) group | This paper analyzes directional tracking in 2D with the extended Kalman
filter on Lie groups (LG-EKF). The study stems from the problem of tracking
objects moving in 2D Euclidean space, with the observer measuring direction
only, thus rendering the measurement space and object position on the
circle---a non-Euclidean... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards a Context-Aware IDE-Based Meta Search Engine for Recommendation about Programming Errors and Exceptions | Study shows that software developers spend about 19% of their time looking
for information in the web during software development and maintenance.
Traditional web search forces them to leave the working environment (e.g., IDE)
and look for information in the web browser. It also does not consider the
context of the p... | 1 | 0 | 0 | 0 | 0 | 0 |
Infrared Flares from M Dwarfs: a Hinderance to Future Transiting Exoplanet Studies | Many current and future exoplanet missions are pushing to infrared (IR)
wavelengths where the flux contrast between the planet and star is more
favorable (Deming et al. 2009), and the impact of stellar magnetic activity is
decreased. Indeed, a recent analysis of starspots and faculae found these forms
of stellar acti... | 0 | 1 | 0 | 0 | 0 | 0 |
Topic Identification for Speech without ASR | Modern topic identification (topic ID) systems for speech use automatic
speech recognition (ASR) to produce speech transcripts, and perform supervised
classification on such ASR outputs. However, under resource-limited conditions,
the manually transcribed speech required to develop standard ASR systems can be
severel... | 1 | 0 | 0 | 0 | 0 | 0 |
Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals | Spiking neural networks (SNNs) enable power-efficient implementations due to
their sparse, spike-based coding scheme. This paper develops a bio-inspired SNN
that uses unsupervised learning to extract discriminative features from speech
signals, which can subsequently be used in a classifier. The architecture
consists... | 1 | 0 | 0 | 0 | 0 | 0 |
Zonotope hit-and-run for efficient sampling from projection DPPs | Determinantal point processes (DPPs) are distributions over sets of items
that model diversity using kernels. Their applications in machine learning
include summary extraction and recommendation systems. Yet, the cost of
sampling from a DPP is prohibitive in large-scale applications, which has
triggered an effort tow... | 1 | 0 | 0 | 1 | 0 | 0 |
Brownian motion: from kinetics to hydrodynamics | Brownian motion has served as a pilot of studies in diffusion and other
transport phenomena for over a century. The foundation of Brownian motion, laid
by Einstein, has generally been accepted to be far from being complete since
the late 1960s, because it fails to take important hydrodynamic effects into
account. The... | 0 | 1 | 0 | 0 | 0 | 0 |
Natural Time, Nowcasting and the Physics of Earthquakes: Estimation of Seismic Risk to Global Megacities | This paper describes the use of the idea of natural time to propose a new
method for characterizing the seismic risk to the world's major cities at risk
of earthquakes. Rather than focus on forecasting, which is the computation of
probabilities of future events, we define the term seismic nowcasting, which is
the com... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile | Owing to their connection with generative adversarial networks (GANs),
saddle-point problems have recently attracted considerable interest in machine
learning and beyond. By necessity, most theoretical guarantees revolve around
convex-concave (or even linear) problems; however, making theoretical inroads
towards effi... | 0 | 0 | 0 | 1 | 0 | 0 |
Design of an Autonomous Precision Pollination Robot | Precision robotic pollination systems can not only fill the gap of declining
natural pollinators, but can also surpass them in efficiency and uniformity,
helping to feed the fast-growing human population on Earth. This paper presents
the design and ongoing development of an autonomous robot named "BrambleBee",
which ... | 1 | 0 | 0 | 0 | 0 | 0 |
A sufficiently complicated noded Schottky group of rank three | The theoretical existence of non-classical Schottky groups is due to Marden.
Explicit examples of such kind of groups are only known in rank two, the first
one by by Yamamoto in 1991 and later by Williams in 2009. In 2006, Maskit and
the author provided a theoretical method to obtain examples of non-classical
Schottk... | 0 | 0 | 1 | 0 | 0 | 0 |
DONUT: CTC-based Query-by-Example Keyword Spotting | Keyword spotting--or wakeword detection--is an essential feature for
hands-free operation of modern voice-controlled devices. With such devices
becoming ubiquitous, users might want to choose a personalized custom wakeword.
In this work, we present DONUT, a CTC-based algorithm for online
query-by-example keyword spot... | 1 | 0 | 0 | 0 | 0 | 0 |
Emulation of the space radiation environment for materials testing and radiobiological experiments | Radiobiology studies on the effects of galactic cosmic ray radiation utilize
mono-energetic single-ion particle beams, where the projected doses for
exploration missions are given using highly-acute exposures. This methodology
does not replicate the multi-ion species and energies found in the space
radiation environm... | 0 | 1 | 0 | 0 | 0 | 0 |
Convex Relaxations for Pose Graph Optimization with Outliers | Pose Graph Optimization involves the estimation of a set of poses from
pairwise measurements and provides a formalization for many problems arising in
mobile robotics and geometric computer vision. In this paper, we consider the
case in which a subset of the measurements fed to pose graph optimization is
spurious. Ou... | 1 | 0 | 0 | 0 | 0 | 0 |
Quasi-Frobenius-splitting and lifting of Calabi-Yau varieties in characteristic $p$ | Extending the notion of Frobenius-splitting, we prove that every finite
height Calabi-Yau variety defined over an algebraically closed field of
positive characteristic can be lifted to the ring of Witt vectors of length
two.
| 0 | 0 | 1 | 0 | 0 | 0 |
Consistency and Asymptotic Normality of Latent Blocks Model Estimators | Latent Block Model (LBM) is a model-based method to cluster simultaneously
the $d$ columns and $n$ rows of a data matrix. Parameter estimation in LBM is a
difficult and multifaceted problem. Although various estimation strategies have
been proposed and are now well understood empirically, theoretical guarantees
about... | 0 | 0 | 1 | 1 | 0 | 0 |
Linking Generative Adversarial Learning and Binary Classification | In this note, we point out a basic link between generative adversarial (GA)
training and binary classification -- any powerful discriminator essentially
computes an (f-)divergence between real and generated samples. The result,
repeatedly re-derived in decision theory, has implications for GA Networks
(GANs), providi... | 1 | 0 | 0 | 1 | 0 | 0 |
High Speed Elephant Flow Detection Under Partial Information | In this paper we introduce a new framework to detect elephant flows at very
high speed rates and under uncertainty. The framework provides exact
mathematical formulas to compute the detection likelihood and introduces a new
flow reconstruction lemma under partial information. These theoretical results
lead to the des... | 1 | 0 | 0 | 0 | 0 | 0 |
Scalable k-Means Clustering via Lightweight Coresets | Coresets are compact representations of data sets such that models trained on
a coreset are provably competitive with models trained on the full data set. As
such, they have been successfully used to scale up clustering models to massive
data sets. While existing approaches generally only allow for multiplicative
app... | 1 | 0 | 0 | 1 | 0 | 0 |
Scaling relations in the diffusive infiltration in fractals | In a recent work on fluid infiltration in a Hele-Shaw cell with the
pore-block geometry of Sierpinski carpets (SCs), the area filled by the
invading fluid was shown to scale as F~t^n, with n<1/2, thus providing a
macroscopic realization of anomalous diffusion [Filipovitch et al, Water
Resour. Res. 52 5167 (2016)]. Th... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Sequential MCMC for Combined State and Parameter Estimation | In the case of a linear state space model, we implement an MCMC sampler with
two phases. In the learning phase, a self-tuning sampler is used to learn the
parameter mean and covariance structure. In the estimation phase, the parameter
mean and covariance structure informs the proposed mechanism and is also used
in a ... | 0 | 0 | 0 | 1 | 0 | 0 |
Information sensitivity functions to assess parameter information gain and identifiability of dynamical systems | A new class of functions, called the `Information sensitivity functions'
(ISFs), which quantify the information gain about the parameters through the
measurements/observables of a dynamical system are presented. These functions
can be easily computed through classical sensitivity functions alone and are
based on Baye... | 0 | 0 | 0 | 1 | 0 | 0 |
Combinatorial cost: a coarse setting | The main inspiration for this paper is a paper by Elek where he introduces
combinatorial cost for graph sequences. We show that having cost equal to 1 and
hyperfiniteness are coarse invariants. We also show `cost-1' for box spaces
behaves multiplicatively when taking subgroups. We show that graph sequences
coming fro... | 0 | 0 | 1 | 0 | 0 | 0 |
Uncharted Forest a Technique for Exploratory Data Analysis | Exploratory data analysis is crucial for developing and understanding
classification models from high-dimensional datasets. We explore the utility of
a new unsupervised tree ensemble called uncharted forest for visualizing class
associations, sample-sample associations, class heterogeneity, and
uninformative classes ... | 0 | 0 | 0 | 1 | 0 | 0 |
Surface thermophysical properties investigation of the potentially hazardous asteroid (99942) Apophis | In this work, we investigate the surface thermophysical properties (thermal
emissivity, thermal inertia, roughness fraction and geometric albedo) of
asteroid (99942) Apophis, using the currently available thermal infrared
observations of CanariCam on Gran Telescopio CANARIAS and far-infrared data by
PACS of Herschel,... | 0 | 1 | 0 | 0 | 0 | 0 |
Reconfigurable cluster state generation in specially poled nonlinear waveguide arrays | We present a new approach for generating cluster states on-chip, with the
state encoded in the spatial component of the photonic wavefunction. We show
that for spatial encoding, a change of measurement basis can improve the
practicality of cluster state algorithm implementation, and demonstrate this by
simulating Gro... | 0 | 1 | 0 | 0 | 0 | 0 |
Whole planet coupling between climate, mantle, and core: Implications for the evolution of rocky planets | Earth's climate, mantle, and core interact over geologic timescales. Climate
influences whether plate tectonics can take place on a planet, with cool
climates being favorable for plate tectonics because they enhance stresses in
the lithosphere, suppress plate boundary annealing, and promote hydration and
weakening of... | 0 | 1 | 0 | 0 | 0 | 0 |
Solutions of the Helmholtz equation given by solutions of the eikonal equation | We find the form of the refractive index such that a solution, $S$, of the
eikonal equation yields an exact solution, $\exp ({\rm i} k_{0} S)$, of the
corresponding Helmholtz equation.
| 0 | 1 | 0 | 0 | 0 | 0 |
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation | Semantic Textual Similarity (STS) measures the meaning similarity of
sentences. Applications include machine translation (MT), summarization,
generation, question answering (QA), short answer grading, semantic search,
dialog and conversational systems. The STS shared task is a venue for assessing
the current state-of... | 1 | 0 | 0 | 0 | 0 | 0 |
Modelling Luminous-Blue-Variable Isolation | Observations show that luminous blue variables (LBVs) are far more dispersed
than massive O-type stars, and Smith & Tombleson suggested that these large
separations are inconsistent with a single-star evolution model of LBVs.
Instead, they suggested that the large distances are most consistent with
binary evolution s... | 0 | 1 | 0 | 0 | 0 | 0 |
Service adoption spreading in online social networks | The collective behaviour of people adopting an innovation, product or online
service is commonly interpreted as a spreading phenomenon throughout the fabric
of society. This process is arguably driven by social influence, social
learning and by external effects like media. Observations of such processes
date back to ... | 1 | 1 | 0 | 0 | 0 | 0 |
The Amplitude-Phase Decomposition for the Magnetotelluric Impedance Tensor | The Phase Tensor (PT) marked a breakthrough in understanding and analysis of
electric galvanic distortion but does not contain any impedance amplitude
information and therefore cannot quantify resistivity without complementary
data. We formulate a complete impedance tensor decomposition into the PT and a
new Amplitud... | 0 | 1 | 0 | 0 | 0 | 0 |
Real-time Convolutional Neural Networks for Emotion and Gender Classification | In this paper we propose an implement a general convolutional neural network
(CNN) building framework for designing real-time CNNs. We validate our models
by creating a real-time vision system which accomplishes the tasks of face
detection, gender classification and emotion classification simultaneously in
one blende... | 1 | 0 | 0 | 0 | 0 | 0 |
Compound-Specific Chlorine Isotope Analysis of Organochlorines Using Gas Chromatography-Double Focus Magnetic-Sector High Resolution Mass Spectrometry | Compound-specific chlorine isotope analysis (CSIA-Cl) is a practicable and
high-performance approach for quantification of transformation processes and
pollution source apportionment of chlorinated organic compounds. This study
developed a CSIA-Cl method for perchlorethylene (PCE) and trichloroethylene
(TCE) using ga... | 0 | 1 | 0 | 0 | 0 | 0 |
Realization of an atomically thin mirror using monolayer MoSe2 | Advent of new materials such as van der Waals heterostructures, propels new
research directions in condensed matter physics and enables development of
novel devices with unique functionalities. Here, we show experimentally that a
monolayer of MoSe2 embedded in a charge controlled heterostructure can be used
to realiz... | 0 | 1 | 0 | 0 | 0 | 0 |
Equivariant mirror symmetry for the weighted projective line | In this paper, we establish equivariant mirror symmetry for the weighted
projective line. This extends the results by B. Fang, C.C. Liu and Z. Zong,
where the projective line was considered [{\it Geometry \& Topology}
24:2049-2092, 2017]. More precisely, we prove the equivalence of the
$R$-matrices for A-model and B-... | 0 | 0 | 1 | 0 | 0 | 0 |
Precise Recovery of Latent Vectors from Generative Adversarial Networks | Generative adversarial networks (GANs) transform latent vectors into visually
plausible images. It is generally thought that the original GAN formulation
gives no out-of-the-box method to reverse the mapping, projecting images back
into latent space. We introduce a simple, gradient-based technique called
stochastic c... | 1 | 0 | 0 | 1 | 0 | 0 |
The dependence of protostar formation on the geometry and strength of the initial magnetic field | We report results from twelve simulations of the collapse of a molecular
cloud core to form one or more protostars, comprising three field strengths
(mass-to-flux ratios, {\mu}, of 5, 10, and 20) and four field geometries (with
values of the angle between the field and rotation axes, {\theta}, of 0°,
20°, 45°, and 90... | 0 | 1 | 0 | 0 | 0 | 0 |
Current-Voltage Characteristics of Weyl Semimetal Semiconducting Devices, Veselago Lenses and Hyperbolic Dirac Phase | The current-voltage characteristics of a new range of devices built around
Weyl semimetals has been predicted using the Landauer formalism. The potential
step and barrier have been reconsidered for a three-dimensional Weyl
semimetals, with analogies to the two-dimensional material graphene and to
optics. With the use... | 0 | 1 | 0 | 0 | 0 | 0 |
Safer Classification by Synthesis | The discriminative approach to classification using deep neural networks has
become the de-facto standard in various fields. Complementing recent
reservations about safety against adversarial examples, we show that
conventional discriminative methods can easily be fooled to provide incorrect
labels with very high con... | 1 | 0 | 0 | 1 | 0 | 0 |
A geometrical analysis of global stability in trained feedback networks | Recurrent neural networks have been extensively studied in the context of
neuroscience and machine learning due to their ability to implement complex
computations. While substantial progress in designing effective learning
algorithms has been achieved in the last years, a full understanding of trained
recurrent netwo... | 0 | 0 | 0 | 0 | 1 | 0 |
Submolecular-resolution non-invasive imaging of interfacial water with atomic force microscopy | Scanning probe microscopy (SPM) has been extensively applied to probe
interfacial water in many interdisciplinary fields but the disturbance of the
probes on the hydrogen-bonding structure of water has remained an intractable
problem. Here we report submolecular-resolution imaging of the water clusters
on a NaCl(001)... | 0 | 1 | 0 | 0 | 0 | 0 |
A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity | SGD (Stochastic Gradient Descent) is a popular algorithm for large scale
optimization problems due to its low iterative cost. However, SGD can not
achieve linear convergence rate as FGD (Full Gradient Descent) because of the
inherent gradient variance. To attack the problem, mini-batch SGD was proposed
to get a trade... | 1 | 0 | 0 | 1 | 0 | 0 |
First observation of Ce volume collapse in CeN | On the occasion of the 80th anniversary of the first observation of Ce volume
collapse in CeN a remembrance of the implications of that transcendent event is
presented, along with a review of the knowledge of Ce physical properties
available at that time. Coincident anniversary corresponds to the first
proposal for C... | 0 | 1 | 0 | 0 | 0 | 0 |
Experimentation with MANETs of Smartphones | Mobile AdHoc NETworks (MANETs) have been identified as a key emerging
technology for scenarios in which IEEE 802.11 or cellular communications are
either infeasible, inefficient, or cost-ineffective. Smartphones are the most
adequate network nodes in many of these scenarios, but it is not
straightforward to build a n... | 1 | 0 | 0 | 0 | 0 | 0 |
Interaction between cluster synchronization and epidemic spread in community networks | In real world, there is a significant relation between human behaviors and
epidemic spread. Especially, the reactions among individuals in different
communities to epidemics may be different, which lead to cluster
synchronization of human behaviors. So, a mathematical model that embeds
community structures, behaviora... | 0 | 1 | 0 | 0 | 0 | 0 |
Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data | Message importance measure (MIM) is applicable to characterize the importance
of information in the scenario of big data, similar to entropy in information
theory. In fact, MIM with a variable parameter can make an effect on the
characterization of distribution. Furthermore, by choosing an appropriate
parameter of MI... | 1 | 0 | 1 | 0 | 0 | 0 |
Deep Multi-camera People Detection | This paper addresses the problem of multi-view people occupancy map
estimation. Existing solutions for this problem either operate per-view, or
rely on a background subtraction pre-processing. Both approaches lessen the
detection performance as scenes become more crowded. The former does not
exploit joint information... | 1 | 0 | 0 | 0 | 0 | 0 |
SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis | Bakground: With the proliferation of available microarray and high throughput
sequencing experiments in the public domain, the use of meta-analysis methods
increases. In these experiments, where the sample size is often limited,
meta-analysis offers the possibility to considerably enhance the statistical
power and gi... | 0 | 0 | 0 | 1 | 1 | 0 |
Big Data Fusion to Estimate Fuel Consumption: A Case Study of Riyadh | Falling oil revenues and rapid urbanization are putting a strain on the
budgets of oil producing nations which often subsidize domestic fuel
consumption. A direct way to decrease the impact of subsidies is to reduce fuel
consumption by reducing congestion and car trips. While fuel consumption models
have started to i... | 1 | 0 | 0 | 0 | 0 | 0 |
Person Following by Autonomous Robots: A Categorical Overview | A wide range of human-robot collaborative applications in industry, search
and rescue operations, healthcare, and social interactions require an
autonomous robot to follow its human companion. Different operating mediums and
applications pose diverse challenges by adding constraints on the choice of
sensors, the degr... | 1 | 0 | 0 | 0 | 0 | 0 |
Structures, phase transitions, and magnetic properties of Co3Si from first-principles calculations | Co3Si was recently reported to exhibit remarkable magnetic properties in the
nanoparticle form [Appl. Phys. Lett. 108, 152406 (2016)], yet better
understanding of this material is to be promoted. Here we report a study on the
crystal structures of Co3Si using adaptive genetic algorithm, and discuss its
electronic and... | 0 | 1 | 0 | 0 | 0 | 0 |
Rigid realizations of modular forms in Calabi--Yau threefolds | We construct examples of modular rigid Calabi--Yau threefolds, which give a
realization of some new weight 4 cusp forms.
| 0 | 0 | 1 | 0 | 0 | 0 |
Steady-state analysis of single exponential vacation in a $PH/MSP/1/\infty$ queue using roots | We consider an infinite-buffer single-server queue where inter-arrival times
are phase-type ($PH$), the service is provided according to Markovian service
process $(MSP)$, and the server may take single, exponentially distributed
vacations when the queue is empty. The proposed analysis is based on roots of
the associ... | 1 | 0 | 1 | 0 | 0 | 0 |
The agreement distance of rooted phylogenetic networks | The minimal number of rooted subtree prune and regraft (rSPR) operations
needed to transform one phylogenetic tree into another one induces a metric on
phylogenetic trees - the rSPR-distance. The rSPR-distance between two
phylogenetic trees $T$ and $T'$ can be characterised by a maximum agreement
forest; a forest wit... | 0 | 0 | 0 | 0 | 1 | 0 |
Optimization of the Waiting Time for H-R Coordination | An analytical model of Human-Robot (H-R) coordination is presented for a
Human-Robot system executing a collaborative task in which a high level of
synchronization among the agents is desired. The influencing parameters and
decision variables that affect the waiting time of the collaborating agents
were analyzed. The... | 1 | 0 | 0 | 0 | 0 | 0 |
Introducing AIC model averaging in ecological niche modeling: a single-algorithm multi-model strategy to account for uncertainty in suitability predictions | Aim: The Akaike information Criterion (AIC) is widely used science to make
predictions about complex phenomena based on an entire set of models weighted
by Akaike weights. This approach (AIC model averaging; hereafter AvgAICc) is
often preferable than alternatives based on the selection of a single model.
Surprisingl... | 0 | 0 | 0 | 0 | 1 | 0 |
Extrasolar Planets and Their Host Stars | In order to understand the exoplanet, you need to understand its parent star.
Astrophysical parameters of extrasolar planets are directly and indirectly
dependent on the properties of their respective host stars. These host stars
are very frequently the only visible component in the systems. This book
describes our w... | 0 | 1 | 0 | 0 | 0 | 0 |
Modeling polypharmacy side effects with graph convolutional networks | The use of drug combinations, termed polypharmacy, is common to treat
patients with complex diseases and co-existing conditions. However, a major
consequence of polypharmacy is a much higher risk of adverse side effects for
the patient. Polypharmacy side effects emerge because of drug-drug
interactions, in which acti... | 0 | 0 | 0 | 1 | 1 | 0 |
Musical intervals under 12-note equal temperament: a geometrical interpretation | Musical intervals in multiple of semitones under 12-note equal temperament,
or more specifically pitch-class subsets of assigned cardinality ($n$-chords)
are conceived as positive integer points within an Euclidean $n$-space. The
number of distinct $n$-chords is inferred from combinatorics with the extension
to $n=0$... | 0 | 0 | 1 | 0 | 0 | 0 |
Determining rough first order perturbations of the polyharmonic operator | We show that the knowledge of Dirichlet to Neumann map for rough $A$ and $q$
in $(-\Delta)^m +A\cdot D +q$ for $m \geq 2$ for a bounded domain in
$\mathbb{R}^n$, $n \geq 3$ determines $A$ and $q$ uniquely. The unique
identifiability is proved using property of products of functions in Sobolev
spaces and constructing ... | 0 | 0 | 1 | 0 | 0 | 0 |
Data Science: A Three Ring Circus or a Big Tent? | This is part of a collection of discussion pieces on David Donoho's paper 50
Years of Data Science, appearing in Volume 26, Issue 4 of the Journal of
Computational and Graphical Statistics (2017).
| 0 | 0 | 0 | 1 | 0 | 0 |
Optimal Control of Partially Observable Piecewise Deterministic Markov Processes | In this paper we consider a control problem for a Partially Observable
Piecewise Deterministic Markov Process of the following type: After the jump of
the process the controller receives a noisy signal about the state and the aim
is to control the process continuously in time in such a way that the expected
discounte... | 0 | 0 | 1 | 0 | 0 | 0 |
Moment-based parameter estimation in binomial random intersection graph models | Binomial random intersection graphs can be used as parsimonious statistical
models of large and sparse networks, with one parameter for the average degree
and another for transitivity, the tendency of neighbours of a node to be
connected. This paper discusses the estimation of these parameters from a
single observed ... | 1 | 0 | 1 | 1 | 0 | 0 |
Efficient Compression and Indexing of Trajectories | We present a new compressed representation of free trajectories of moving
objects. It combines a partial-sums-based structure that retrieves in constant
time the position of the object at any instant, with a hierarchical
minimum-bounding-boxes representation that allows determining if the object is
seen in a certain ... | 1 | 0 | 0 | 0 | 0 | 0 |
Denoising Linear Models with Permuted Data | The multivariate linear regression model with shuffled data and additive
Gaussian noise arises in various correspondence estimation and matching
problems. Focusing on the denoising aspect of this problem, we provide a
characterization the minimax error rate that is sharp up to logarithmic
factors. We also analyze the... | 0 | 0 | 1 | 1 | 0 | 0 |
Collisions in shape memory alloys | We present here a model for instantaneous collisions in a solid made of shape
memory alloys (SMA) by means of a predictive theory which is based on the
introduction not only of macroscopic velocities and temperature, but also of
microscopic velocities responsible of the austenite-martensites phase changes.
Assuming t... | 0 | 0 | 1 | 0 | 0 | 0 |
Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale | Today's high-performance computing (HPC) systems are heavily instrumented,
generating logs containing information about abnormal events, such as critical
conditions, faults, errors and failures, system resource utilization, and about
the resource usage of user applications. These logs, once fully analyzed and
correla... | 1 | 0 | 0 | 0 | 0 | 0 |
Clustering Spectrum of scale-free networks | Real-world networks often have power-law degrees and scale-free properties
such as ultra-small distances and ultra-fast information spreading. In this
paper, we study a third universal property: three-point correlations that
suppress the creation of triangles and signal the presence of hierarchy. We
quantify this pro... | 1 | 1 | 0 | 0 | 0 | 0 |
Multiplex model of mental lexicon reveals explosive learning in humans | Word similarities affect language acquisition and use in a multi-relational
way barely accounted for in the literature. We propose a multiplex network
representation of this mental lexicon of word similarities as a natural
framework for investigating large-scale cognitive patterns. Our representation
accounts for sem... | 1 | 1 | 0 | 0 | 0 | 0 |
Weighted $L_{p,q}$-estimates for higher order elliptic and parabolic systems with BMO coefficients on Reifenberg flat domains | We prove weighted $L_{p,q}$-estimates for divergence type higher order
elliptic and parabolic systems with irregular coefficients on Reifenberg flat
domains. In particular, in the parabolic case the coefficients do not have any
regularity assumptions in the time variable. As functions of the spatial
variables, the le... | 0 | 0 | 1 | 0 | 0 | 0 |
Various sharp estimates for semi-discrete Riesz transforms of the second order | We give several sharp estimates for a class of combinations of second order
Riesz transforms on Lie groups ${G}={G}_{x} \times {G}_{y}$ that are multiply
connected, composed of a discrete abelian component ${G}_{x}$ and a connected
component ${G}_{y}$ endowed with a biinvariant measure. These estimates include
new sh... | 0 | 0 | 1 | 0 | 0 | 0 |
Linear Spectral Estimators and an Application to Phase Retrieval | Phase retrieval refers to the problem of recovering real- or complex-valued
vectors from magnitude measurements. The best-known algorithms for this problem
are iterative in nature and rely on so-called spectral initializers that
provide accurate initialization vectors. We propose a novel class of estimators
suitable ... | 0 | 0 | 0 | 1 | 0 | 0 |
A geometric perspective on the method of descent | We derive a representation formula for the tensorial wave equation $\Box_\bg
\phi^I=F^I$ in globally hyperbolic Lorentzian spacetimes $(\M^{2+1}, \bg)$ by
giving a geometric formulation of the method of descent which is applicable for
any dimension.
| 0 | 0 | 1 | 0 | 0 | 0 |
Detecting Changes in Hidden Markov Models | We consider the problem of sequential detection of a change in the
statistical behavior of a hidden Markov model. By adopting a worst-case
analysis with respect to the time of change and by taking into account the data
that can be accessed by the change-imposing mechanism we offer alternative
formulations of the prob... | 0 | 0 | 1 | 1 | 0 | 0 |
Towards an Empirical Study of Affine Types for Isolated Actors in Scala | LaCasa is a type system and programming model to enforce the object
capability discipline in Scala, and to provide affine types. One important
application of LaCasa's type system is software isolation of concurrent
processes. Isolation is important for several reasons including security and
data-race freedom. Moreove... | 1 | 0 | 0 | 0 | 0 | 0 |
FPGA Architecture for Deep Learning and its application to Planetary Robotics | Autonomous control systems onboard planetary rovers and spacecraft benefit
from having cognitive capabilities like learning so that they can adapt to
unexpected situations in-situ. Q-learning is a form of reinforcement learning
and it has been efficient in solving certain class of learning problems.
However, embedded... | 1 | 1 | 0 | 0 | 0 | 0 |
Boundary Layer Problems in the Viscosity-Diffusion Vanishing Limits for the Incompressible MHD Systems | In this paper, we we study boundary layer problems for the incompressible MHD
systems in the presence of physical boundaries with the standard Dirichlet
oundary conditions with small generic viscosity and diffusion coefficients. We
identify a non-trivial class of initial data for which we can establish the
uniform st... | 0 | 0 | 1 | 0 | 0 | 0 |
Why Adaptively Collected Data Have Negative Bias and How to Correct for It | From scientific experiments to online A/B testing, the previously observed
data often affects how future experiments are performed, which in turn affects
which data will be collected. Such adaptivity introduces complex correlations
between the data and the collection procedure. In this paper, we prove that
when the d... | 1 | 0 | 0 | 1 | 0 | 0 |
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis | INTRODUCTION: Advanced machine learning methods might help to identify
dementia risk from neuroimaging, but their accuracy to date is unclear.
METHODS: We systematically reviewed the literature, 2006 to late 2016, for
machine learning studies differentiating healthy ageing through to dementia of
various types, assess... | 0 | 0 | 0 | 0 | 1 | 0 |
Exact Diffusion for Distributed Optimization and Learning --- Part II: Convergence Analysis | Part I of this work [2] developed the exact diffusion algorithm to remove the
bias that is characteristic of distributed solutions for deterministic
optimization problems. The algorithm was shown to be applicable to a larger set
of combination policies than earlier approaches in the literature. In
particular, the com... | 0 | 0 | 1 | 0 | 0 | 0 |
Approximating meta-heuristics with homotopic recurrent neural networks | Much combinatorial optimisation problems constitute a non-polynomial (NP)
hard optimisation problem, i.e., they can not be solved in polynomial time. One
such problem is finding the shortest route between two nodes on a graph.
Meta-heuristic algorithms such as $A^{*}$ along with mixed-integer programming
(MIP) method... | 1 | 0 | 0 | 1 | 0 | 0 |
Real embedding and equivariant eta forms | In 1993, Bismut and Zhang establish a mod Z embedding formula of
Atiyah-Patodi-Singer reduced eta invariants. In this paper, we explain the
hidden mod Z term as a spectral flow and extend this embedding formula to the
equivariant family case. In this case, the spectral flow is generalized to the
equivariant chern cha... | 0 | 0 | 1 | 0 | 0 | 0 |
Hierarchical Block Sparse Neural Networks | Sparse deep neural networks(DNNs) are efficient in both memory and compute
when compared to dense DNNs. But due to irregularity in computation of sparse
DNNs, their efficiencies are much lower than that of dense DNNs on regular
parallel hardware such as TPU. This inefficiency leads to poor/no performance
benefits for... | 0 | 0 | 0 | 1 | 0 | 0 |
Are crossing dependencies really scarce? | The syntactic structure of a sentence can be modelled as a tree, where
vertices correspond to words and edges indicate syntactic dependencies. It has
been claimed recurrently that the number of edge crossings in real sentences is
small. However, a baseline or null hypothesis has been lacking. Here we
quantify the amo... | 1 | 1 | 0 | 0 | 0 | 0 |
Theory of Compact Hausdorff Shape | In this paper, we aim to establish a new shape theory, compact Hausdorff
shape (CH-shape) for general Hausdorff spaces. We use the "internal" method and
direct system approach on the homotopy category of compact Hausdorff spaces.
Such a construction can preserve most good properties of H-shape given by Rubin
and Sand... | 0 | 0 | 1 | 0 | 0 | 0 |
A Proof of the Herschel-Maxwell Theorem Using the Strong Law of Large Numbers | In this article, we use the strong law of large numbers to give a proof of
the Herschel-Maxwell theorem, which characterizes the normal distribution as
the distribution of the components of a spherically symmetric random vector,
provided they are independent. We present shorter proofs under additional
moment assumpti... | 0 | 0 | 1 | 0 | 0 | 0 |
Heating and cooling of coronal loops with turbulent suppression of parallel heat conduction | Using the "enthalpy-based thermal evolution of loops" (EBTEL) model, we
investigate the hydrodynamics of the plasma in a flaring coronal loop in which
heat conduction is limited by turbulent scattering of the electrons that
transport the thermal heat flux. The EBTEL equations are solved analytically in
each of the tw... | 0 | 1 | 0 | 0 | 0 | 0 |
How to avoid the curse of dimensionality: scalability of particle filters with and without importance weights | Particle filters are a popular and flexible class of numerical algorithms to
solve a large class of nonlinear filtering problems. However, standard particle
filters with importance weights have been shown to require a sample size that
increases exponentially with the dimension D of the state space in order to
achieve... | 0 | 0 | 1 | 1 | 0 | 0 |
Motion and Cooperative Transportation Planning for Multi-Agent Systems under Temporal Logic Formulas | This paper presents a hybrid control framework for the motion planning of a
multi-agent system including N robotic agents and M objects, under high level
goals expressed as Linear Temporal Logic (LTL) formulas. In particular, we
design control protocols that allow the transition of the agents as well as the
cooperati... | 1 | 0 | 0 | 0 | 0 | 0 |
Realistic finite temperature simulations of magnetic systems using quantum statistics | We have performed realistic atomistic simulations at finite temperatures
using Monte Carlo and atomistic spin dynamics simulations incorporating quantum
(Bose-Einstein) statistics. The description is much improved at low
temperatures compared to classical (Boltzmann) statistics normally used in
these kind of simulati... | 0 | 1 | 0 | 0 | 0 | 0 |
Effective Tensor Sketching via Sparsification | In this paper, we investigate effective sketching schemes via sparsification
for high dimensional multilinear arrays or tensors. More specifically, we
propose a novel tensor sparsification algorithm that retains a subset of the
entries of a tensor in a judicious way, and prove that it can attain a given
level of appr... | 1 | 0 | 0 | 1 | 0 | 0 |
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