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Assisted Dictionary Learning for fMRI Data Analysis
Extracting information from functional magnetic resonance (fMRI) images ...
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Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective
We present a new framework for online Least Squares algorithms for nonli...
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Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising
We consider the task of robust non-linear regression in the presence of ...
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Asymptotically Optimal Multi-Armed Bandit Policies under a Cost Constraint
We develop asymptotically optimal policies for the multi armed bandit (M...
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Complex Support Vector Machines for Regression and Quaternary Classification
The paper presents a new framework for complex Support Vector Regression...
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Adaptive Policies for Sequential Sampling under Incomplete Information and a Cost Constraint
We consider the problem of sequential sampling from a finite number of i...
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Decoding Beta-Decay Systematics: A Global Statistical Model for Beta^- Halflives
Statistical modeling of nuclear data provides a novel approach to nuclea...
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Compact Formulae in Sparse Elimination
It has by now become a standard approach to use the theory of sparse (or...
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Effectiveness of Anonymization in Double-Blind Review
Double-blind review relies on the authors' ability and willingness to ef...
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Selling to Cournot oligopolists: pricing under uncertainty & generalized mean residual life
We study a classic Cournot market, which we extend to a two-stage game w...
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The Intricacies of 3-Valued Extensional Semantics for Higher-Order Logic Programs
In (Bezem 1999; Bezem 2001), M. Bezem defined an extensional semantics f...
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Killing Two Birds with One Stone -- Querying Property Graphs using SPARQL via GREMLINATOR
Knowledge graphs have become popular over the past decade and frequently...
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Social Event Scheduling
A major challenge for social event organizers (e.g., event planning comp...
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Bayesian analysis of predictive Non-Homogeneous hidden Markov models using Polya-Gamma data augmentation
We consider Non-Homogeneous Hidden Markov Models (NHHMMs) for forecastin...
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Upstream Demand Uncertainty in a Two-Echelon Supply Chain: Comparative Statics via Stochastic Orderings
We revisit the classic Cournot model and extend it to a two-echelon supp...
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Practical volume computation of structured convex bodies, and an application to modeling portfolio dependencies and financial crises
We examine volume computation of general-dimensional polytopes and more ...
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Unsupervised learning of the brain connectivity dynamic using residual D-net
In this paper, we propose a novel unsupervised learning method to learn ...
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Approximation Fixpoint Theory and the Well-Founded Semantics of Higher-Order Logic Programs
We define a novel, extensional, three-valued semantics for higher-order ...
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Algorithms for Deciding Membership in Polytopes of General Dimension
We study the fundamental problem of polytope membership aiming at large ...
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Inference for a constrained parameter in presence of an uncertain constraint
We describe a hierarchical Bayesian approach for inference about a param...
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Maximum Rooted Connected Expansion
Prefetching constitutes a valuable tool toward efficient Web surfing. As...
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The Stochastic Score Classification Problem
Consider the following Stochastic Score Classification Problem. A doctor...
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Predicate Specialization for Definitional Higher-order Logic Programs
Higher-order logic programming is an interesting extension of traditiona...
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A Simple Network of Nodes Moving on the Circle
Two simple Markov processes are examined, one in discrete and one in con...
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Measuring Market Performance with Stochastic Demand: Price of Anarchy and Price of Uncertainty
Globally operating suppliers face the rising challenge of wholesale pric...
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Asymptotically Optimal Multi-Armed Bandit Activation Policies under Side Constraints
This paper introduces the first asymptotically optimal strategy for the ...
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Algorithmically Efficient Syntactic Characterization of Possibility Domains
We call domain any arbitrary subset of a Cartesian power of the set {0,1...
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Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]
Microblogging platforms constitute a popular means of real-time communic...
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An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms
Smart contract platforms facilitate the development of important and div...
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On the Practicality of Smart Contract PKI
Public key infrastructures (PKIs) are one of the main building blocks fo...
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Neural embeddings for metaphor detection in a corpus of Greek texts
One of the major challenges that NLP faces is metaphor detection, especi...
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Word embeddings for idiolect identification
The term idiolect refers to the unique and distinctive use of language o...
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Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
One of the fundamental challenges to realize massive Multiple-Input Mult...
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Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come
Future wireless networks are expected to constitute a distributed intell...
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Oceanic Games: Centralization Risks and Incentives in Blockchain Mining
To participate in the distributed consensus of permissionless blockchain...
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Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring?
The dream of programming language design is to bring about orders-of-mag...
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Heaps Don't Lie: Countering Unsoundness with Heap Snapshots
Static analyses aspire to explore all possible executions in order to ac...
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Practical Volume Estimation by a New Annealing Schedule for Cooling Convex Bodies
We study the problem of estimating the volume of convex polytopes, focus...
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MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities
Entity Resolution (ER) aims to identify different descriptions in variou...
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A Survey of Blocking and Filtering Techniques for Entity Resolution
Efficiency techniques are an integral part of Entity Resolution, since i...
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End-to-End Entity Resolution for Big Data: A Survey
One of the most important tasks for improving data quality and the relia...
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Schema-agnostic Progressive Entity Resolution (extended version)
Entity Resolution (ER) is the task of finding entity profiles that corre...
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Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RISs) comprised of tunable unit ele...
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Voronoi diagram of orthogonal polyhedra in two and three dimensions
Voronoi diagrams are a fundamental geometric data structure for obtainin...
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Improved Budgeted Connected Domination and Budgeted Edge-Vertex Domination
We consider the budgeted version of the classical connected dominating s...
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Infant Mortality Prediction using Birth Certificate Data
The Infant Mortality Rate (IMR) is the number of infants per 1000 that d...
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The Expressive Power of Higher-Order Datalog
A classical result in descriptive complexity theory states that Datalog ...
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Deep Static Modeling of invokedynamic
Java 7 introduced programmable dynamic linking in the form of the invoke...
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Hide Me: Enabling Location Privacy in Heterogeneous Vehicular Networks
To support location-based services, vehicles must share their location w...
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Parallel Factor Decomposition Channel Estimation in RIS-Assisted Multi-User MISO Communication
Reconfigurable Intelligent Surfaces (RISs) have been recently considered...
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