
Lowrank Tensor Bandits
In recent years, multidimensional online decision making has been playi...
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Integrating Flexible Normalization into MidLevel Representations of Deep Convolutional Neural Networks
Deep convolutional neural networks (CNNs) are becoming increasingly popu...
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Correspondence of Deep Neural Networks and the Brain for Visual Textures
Deep convolutional neural networks (CNNs) trained on objects and scenes ...
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Multimodal Content Analysis for Effective Advertisements on YouTube
The rapid advances in ecommerce and Web 2.0 technologies have greatly i...
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Transforming Musical Signals through a Genre Classifying Convolutional Neural Network
Convolutional neural networks (CNNs) have been successfully applied on b...
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Dynamic Tensor Clustering
Dynamic tensor data are becoming prevalent in numerous applications. Exi...
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OffPolicy General Value Functions to Represent Dynamic Role Assignments in RoboCup 3D Soccer Simulation
Collecting and maintaining accurate world knowledge in a dynamic, comple...
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Extract ABox Modules for Efficient Ontology Querying
The extraction of logicallyindependent fragments out of an ontology ABo...
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Unsupervised Bump Hunting Using Principal Components
Principal Components Analysis is a widely used technique for dimension r...
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Exploration of Heterogeneous Data Using Robust Similarity
Heterogeneous data pose serious challenges to data analysis tasks, inclu...
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Zipf's law emerges asymptotically during phase transitions in communicative systems
Zipf's law predicts a powerlaw relationship between word rank and frequ...
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Collaborative Service Caching for Edge Computing in Dense Small Cell Networks
Mobile Edge Computing (MEC) pushes computing functionalities away from t...
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Modeling association in microbial communities with clique loglinear models
There is a growing awareness of the important roles that microbial commu...
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DeepNJPEG: A Deep Neural Network Favorable JPEGbased Image Compression Framework
As one of most fascinating machine learning techniques, deep neural netw...
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Provable Convex Coclustering of Tensors
Cluster analysis is a fundamental tool for pattern discovery of complex ...
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Modularity based community detection in heterogeneous networks
Heterogeneous networks are networks consisting of different types of nod...
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Geometric Rounding and Feature Separation in Meshes
Geometric rounding of a mesh is the task of approximating its vertex coo...
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Adaptive Fog Configuration for the Industrial Internet of Things
Industrial Fog computing deploys various industrial services, such as au...
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A New Bivariate Point Process Model with Application to Social Media User Content Generation
In this paper, we propose a new bivariate point process model to study t...
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Multivariate Extension of Matrixbased Renyi's αorder Entropy Functional
The matrixbased Renyi's αorder entropy functional was recently introdu...
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Bayesian Patchworks: An Approach to CaseBased Reasoning
Doctors often rely on their past experience in order to diagnose patient...
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A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data
Evolutionary computation (EC) algorithms, such as discrete and multiobj...
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A parallel Fortran framework for neural networks and deep learning
This paper describes neuralfortran, a parallel Fortran framework for ne...
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Markovchaininspired search for MH370
Markovchain models are constructed for the probabilistic description of...
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Budgetconstrained Edge Service Provisioning with Demand Estimation via Bandit Learning
Shared edge computing platforms, which enable Application Service Provid...
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Sparse Tensor Additive Regression
Tensors are becoming prevalent in modern applications such as medical im...
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When Attackers Meet AI: Learningempowered Attacks in Cooperative Spectrum Sensing
Defense strategies have been well studied to combat Byzantine attacks th...
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Service Network Design Problem with CapacityDemand Balancing
This paper addresses developing costeffective strategies to respond to ...
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The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Privacy has raised considerable concerns recently, especially with the a...
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Improve robustness of DNN for ECG signal classification:a noisetosignal ratio perspective
Electrocardiogram (ECG) is the most widely used diagnostic tool to monit...
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An Efficient Smoothing Proximal Gradient Algorithm for Convex Clustering
Cluster analysis organizes data into sensible groupings and is one of fu...
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Adversarial Machine Learning based Partialmodel Attack in IoT
As Internet of Things (IoT) has emerged as the next logical stage of the...
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Estimation of testing bias in covid19
COVID19 testing studies have become a standard approach for estimating ...
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A simple correction for covid19 testing bias
COVID19 testing studies have become a standard approach for estimating ...
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