cs.AI - 人工智能
cs.CL - 计算与语言
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.ET - 新兴技术
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.PL - 编程语言
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
eess.SP - 信号处理
hep-ex - 高能物理实验
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.ed-ph - 物理教育
physics.soc-ph - 物理学与社会
q-bio.GN - 基因组学
q-bio.PE - 人口与发展
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
• [cs.AI]IEDM, an Ontology for Irradiation Experiment Data Management
• [cs.AI]Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning
• [cs.AI]Soft Constraints for Inference with Declarative Knowledge
• [cs.CL]A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
• [cs.CL]Answering Comparative Questions: Better than Ten-Blue-Links?
• [cs.CL]Assessing BERT's Syntactic Abilities
• [cs.CL]Dependency or Span, End-to-End Uniform Semantic Role Labeling
• [cs.CL]Formal models of Structure Building in Music, Language and Animal Songs
• [cs.CL]Investigating Antigram Behaviour using Distributional Semantics
• [cs.CL]Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
• [cs.CL]Sentence transition matrix: An efficient approach that preserves sentence semantics
• [cs.CL]Variable-sized input, character-level recurrent neural networks in lead generation: predicting close rates from raw user inputs
• [cs.CV]A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques
• [cs.CV]A Functional Representation for Graph Matching
• [cs.CV]Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
• [cs.CV]Attention-aware Multi-stroke Style Transfer
• [cs.CV]DAFE-FD: Density Aware Feature Enrichment for Face Detection
• [cs.CV]Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding
• [cs.CV]Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval
• [cs.CV]DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
• [cs.CV]Domain Adaptation for Structured Output via Discriminative Representations
• [cs.CV]Light-weighted Saliency Detection with Distinctively Lower Memory Cost and Model Size
• [cs.CV]Lightweight Markerless Monocular Face Capture with 3D Spatial Priors
• [cs.CV]MRI to CT Translation with GANs
• [cs.CV]Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
• [cs.CV]Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions
• [cs.CV]Technical Report on Visual Quality Assessment for Frame Interpolation
• [cs.CV]UAN: Unified Attention Network for Convolutional Neural Networks
• [cs.CY]Artificial Intelligence for Social Good
• [cs.CY]Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit
• [cs.CY]Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter
• [cs.DC]Achlys : Towards a framework for distributed storage and generic computing applications for wireless IoT edge networks with Lasp on GRiSP
• [cs.DS]The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
• [cs.ET]On complexity of branching droplets in electrical field
• [cs.IR]It's Only Words And Words Are All I Have
• [cs.IR]Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews
• [cs.IT]Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
• [cs.IT]An Exponential Lower Bound on the Sub-Packetization of MSR Codes
• [cs.IT]Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying
• [cs.IT]Channel Conditions for the Optimality of Interference Decoding Schemes for K-user Gaussian Interference Channels
• [cs.IT]Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI
• [cs.IT]Coded Matrix Multiplication on a Group-Based Model
• [cs.IT]Hybrid Beamformer Design for High Dynamic Range Ambient Backscatter Receivers
• [cs.IT]Linear complementary dual, maximum distance separable codes
• [cs.IT]Low-Complexity Joint Channel Estimation and List Decoding of Short Codes
• [cs.IT]Relative Age of Information: A New Metric for Status Update Systems
• [cs.IT]STORNS: Stochastic Radio Access Network Slicing
• [cs.IT]Status from a Random Field: How Densely Should One Update?
• [cs.IT]Using auto-encoders for solving ill-posed linear inverse problems
• [cs.IT]Utility Regions for DF Relay in OFDMA-based Secure Communication with Untrusted Users
• [cs.LG]A review of single-source unsupervised domain adaptation
• [cs.LG]AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools
• [cs.LG]CFOF: A Concentration Free Measure for Anomaly Detection
• [cs.LG]MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
• [cs.LG]Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
• [cs.LG]ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
• [cs.LG]Representation Learning on Graphs: A Reinforcement Learning Application
• [cs.LG]TensorFlow.js: Machine Learning for the Web and Beyond
• [cs.NE]The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems
• [cs.PL]Predicting Variable Types in Dynamically Typed Programming Languages
• [cs.RO]GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving
• [cs.RO]Timely Negotiation and Correction of Shared Intentions With Body Motion
• [cs.RO]Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
• [cs.SD]Spectrogram Feature Losses for Music Source Separation
• [cs.SI]Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention
• [cs.SI]Location, Occupation, and Semantics based Socioeconomic Status Inference on Twitter
• [cs.SI]Weighted Label Propagation Algorithm based on Local Edge Betweenness
• [eess.SP]Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network
• [hep-ex]LHC analysis-specific datasets with Generative Adversarial Networks
• [math.NA]Algorithms for -based semi-supervised learning on graphs
• [math.OC]DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
• [math.OC]Optimization Models for Machine Learning: A Survey
• [math.ST]Bayesian sequential least-squares estimation for the drift of a Wiener process
• [math.ST]Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes with infinite variance
• [math.ST]On posterior contraction of parameters and interpretability in Bayesian mixture modeling
• [math.ST]The median of a jittered Poisson distribution
• [math.ST]Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions
• [physics.ed-ph]Using CoCalc as a Training Tool for Mathematics Teachers Pre-Service Training
• [physics.soc-ph]On the frequency and severity of interstate wars
• [q-bio.GN]Determining Multifunctional Genes and Diseases in Human Using Gene Ontology
• [q-bio.PE]On a family of stochastic SVIR influenza epidemic models and maximum likelihood estimation
• [quant-ph]Machine learning applied to quantum synchronization-assisted probing
• [quant-ph]The RGB No-Signalling Game
• [stat.AP]How to Host a Data Competition: Statistical Advice for Design and Analysis of a Data Competition
• [stat.AP]Improving linear quantile regression for replicated data
• [stat.AP]Multivariate mixed membership modeling: Inferring domain-specific risk profiles
• [stat.AP]Novel metrics for quantifying the capacity of subgroup-defining variables to yield efficient treatment rules
• [stat.AP]Six-Day Footraces in the Post-Pedestrianism Era
• [stat.ME]A Note on the Estimation Method of Intervention Effects based on Statistical Decision Theory
• [stat.ME]A nonparametric super-efficient estimator of the average treatment effect
• [stat.ME]Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models
• [stat.ME]On the Estimation of Population Size from a Dependent Triple Record System
• [stat.ME]Smooth Adjustment for Correlated Effects
• [stat.ME]Two-stage Circular-circular Regression with Rounding Error: An Application to Cataract Surgery Data
• [stat.ML]A Primer on PAC-Bayesian Learning
• [stat.ML]Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques
• [stat.ML]The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
·····································
• [cs.AI]Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
Michael Cerny Green, Benjamin Sergent, Pushyami Shandilya, Vibhor Kumar
http://arxiv.org/abs/1901.05431v1
• [cs.AI]IEDM, an Ontology for Irradiation Experiment Data Management
Blerina Gkotse, Pierre Jouvelot, Federico Ravotti
http://arxiv.org/abs/1901.05233v1
• [cs.AI]Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning
Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang
http://arxiv.org/abs/1901.05322v1
• [cs.AI]Soft Constraints for Inference with Declarative Knowledge
Zenna Tavares, Javier Burroni, Edgar Minaysan, Armando Solar Lezama, Rajesh Ranganath
http://arxiv.org/abs/1901.05437v1
• [cs.CL]A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Dilek Küçük, Fazli Can
http://arxiv.org/abs/1901.04787v2
• [cs.CL]Answering Comparative Questions: Better than Ten-Blue-Links?
Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko
http://arxiv.org/abs/1901.05041v1
• [cs.CL]Assessing BERT's Syntactic Abilities
Yoav Goldberg
http://arxiv.org/abs/1901.05287v1
• [cs.CL]Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
http://arxiv.org/abs/1901.05280v1
• [cs.CL]Formal models of Structure Building in Music, Language and Animal Songs
Willem Zuidema, Dieuwke Hupkes, Geraint Wiggins, Constance Scharff, Martin Rohrmeier
http://arxiv.org/abs/1901.05180v1
• [cs.CL]Investigating Antigram Behaviour using Distributional Semantics
Saptarshi Sengupta
http://arxiv.org/abs/1901.05066v1
• [cs.CL]Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston
http://arxiv.org/abs/1901.05415v1
• [cs.CL]Sentence transition matrix: An efficient approach that preserves sentence semantics
Myeongjun Jang, Pilsung Kang
http://arxiv.org/abs/1901.05219v1
• [cs.CL]Variable-sized input, character-level recurrent neural networks in lead generation: predicting close rates from raw user inputs
Giulio Giorcelli
http://arxiv.org/abs/1901.05115v1
• [cs.CV]A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques
Bao Zhao, Xiaobo Chen, Xinyi Le, Juntong Xi
http://arxiv.org/abs/1901.05104v1
• [cs.CV]A Functional Representation for Graph Matching
Fu-Dong Wang, Gui-Song Xia, Nan Xue, Yipeng Zhang, Marcello Pelillo
http://arxiv.org/abs/1901.05179v1
• [cs.CV]Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
Debayan Deb, Arun Ross, Anil K. Jain, Kwaku Prakah-Asante, K. Venkatesh Prasad
http://arxiv.org/abs/1901.05107v1
• [cs.CV]Attention-aware Multi-stroke Style Transfer
Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang
http://arxiv.org/abs/1901.05127v1
• [cs.CV]DAFE-FD: Density Aware Feature Enrichment for Face Detection
Vishwanath A. Sindagi, Vishal M. Patel
http://arxiv.org/abs/1901.05375v1
• [cs.CV]Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding
Liviu Marina, Bogdan Trasnea, Cocias Tiberiu, Andrei Vasilcoi, Florin Moldoveanu, Sorin Grigorescu
http://arxiv.org/abs/1901.05203v1
• [cs.CV]Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval
Nikolaos Passalis, Anastasios Tefas
http://arxiv.org/abs/1901.05135v1
• [cs.CV]DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove
http://arxiv.org/abs/1901.05103v1
• [cs.CV]Domain Adaptation for Structured Output via Discriminative Representations
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
http://arxiv.org/abs/1901.05427v1
• [cs.CV]Light-weighted Saliency Detection with Distinctively Lower Memory Cost and Model Size
Shanghua Xiao
http://arxiv.org/abs/1901.05002v1
• [cs.CV]Lightweight Markerless Monocular Face Capture with 3D Spatial Priors
Shridhar Ravikumar
http://arxiv.org/abs/1901.05355v1
• [cs.CV]MRI to CT Translation with GANs
Bodo Kaiser, Shadi Albarqouni
http://arxiv.org/abs/1901.05259v1
• [cs.CV]Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
Rene Lacher, Francisco Vasconcelos, Norman Williams, Gerrit Rindermann, John Hipwell, David Hawkes, Danail Stoyanov
http://arxiv.org/abs/1901.05377v1
• [cs.CV]Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions
Risheng Liu, Minjun Hou, Xin Fan, Zhongxuan Luo
http://arxiv.org/abs/1901.05320v1
• [cs.CV]Technical Report on Visual Quality Assessment for Frame Interpolation
Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andres Bruhn, Dietmar Saupe
http://arxiv.org/abs/1901.05362v1
• [cs.CV]UAN: Unified Attention Network for Convolutional Neural Networks
Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
http://arxiv.org/abs/1901.05376v1
• [cs.CY]Artificial Intelligence for Social Good
Gregory D. Hager, Ann Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe
http://arxiv.org/abs/1901.05406v1
• [cs.CY]Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit
Bjørn Fjukstad, Nina Angelvik, Morten Grønnesby, Maria Wulff Hauglann, Hedinn Gunhildrud, Fredrik Høisæther Rasch, Julianne Iversen, Margaret Dalseng, Lars Ailo Bongo
http://arxiv.org/abs/1901.05240v1
• [cs.CY]Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter
Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
http://arxiv.org/abs/1901.05228v1
• [cs.DC]Achlys : Towards a framework for distributed storage and generic computing applications for wireless IoT edge networks with Lasp on GRiSP
Kopestenski Igor, Peter Van Roy
http://arxiv.org/abs/1901.05030v1
• [cs.DS]The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
Alberto Vera, Siddhartha Banerjee
http://arxiv.org/abs/1901.05028v1
• [cs.ET]On complexity of branching droplets in electrical field
Mohammad Mahdi Dehshibi, Jitka Cejkova, Dominik Svara, Andrew Adamatzky
http://arxiv.org/abs/1901.05043v1
• [cs.IR]It's Only Words And Words Are All I Have
Manash Pratim Barman, Kavish Dahekar, Abhinav Anshuman, Amit Awekar
http://arxiv.org/abs/1901.05227v1
• [cs.IR]Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews
Xinli Yu, Zheng Chen, Wei-Shih Yang, Xiaohua Hu, Erjia Yan
http://arxiv.org/abs/1901.04993v1
• [cs.IT]Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu
http://arxiv.org/abs/1901.05205v1
• [cs.IT]An Exponential Lower Bound on the Sub-Packetization of MSR Codes
Omar Alrabiah, Venkatesan Guruswami
http://arxiv.org/abs/1901.05112v1
• [cs.IT]Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying
Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi
http://arxiv.org/abs/1901.05262v1
• [cs.IT]Channel Conditions for the Optimality of Interference Decoding Schemes for K-user Gaussian Interference Channels
Ragini Chaluvadi, Bolli Madhuri, Srikrishna Bhashyam
http://arxiv.org/abs/1901.05153v1
• [cs.IT]Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI
Sukjong Ha, Jingjing Zhang, Osvaldo Simeone, Joonhyuk Kang
http://arxiv.org/abs/1901.05239v1
• [cs.IT]Coded Matrix Multiplication on a Group-Based Model
Muah Kim, Jy-yong Sohn, Jaekyun Moon
http://arxiv.org/abs/1901.05162v1
• [cs.IT]Hybrid Beamformer Design for High Dynamic Range Ambient Backscatter Receivers
Ruifeng Duan, Estifanos Menta, Hüseyin Yiğitler, Riku Jäntti
http://arxiv.org/abs/1901.05323v1
• [cs.IT]Linear complementary dual, maximum distance separable codes
Ted Hurley
http://arxiv.org/abs/1901.04241v2
• [cs.IT]Low-Complexity Joint Channel Estimation and List Decoding of Short Codes
Mustafa Cemil Coşkun, Gianluigi Liva, Johan Östman, Giuseppe Durisi
http://arxiv.org/abs/1901.05409v1
• [cs.IT]Relative Age of Information: A New Metric for Status Update Systems
Peng Zou, Omur Ozel, Suresh Subramaniam
http://arxiv.org/abs/1901.05428v1
• [cs.IT]STORNS: Stochastic Radio Access Network Slicing
Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-Perez
http://arxiv.org/abs/1901.05336v1
• [cs.IT]Status from a Random Field: How Densely Should One Update?
Zhiyuan Jiang, Sheng Zhou
http://arxiv.org/abs/1901.05096v1
• [cs.IT]Using auto-encoders for solving ill-posed linear inverse problems
Shirin Jalali, Xin Yuan
http://arxiv.org/abs/1901.05045v1
• [cs.IT]Utility Regions for DF Relay in OFDMA-based Secure Communication with Untrusted Users
Ravikant Saini, Deepak Mishra, Swades De
http://arxiv.org/abs/1901.05177v1
• [cs.LG]A review of single-source unsupervised domain adaptation
Wouter M. Kouw, Marco Loog
http://arxiv.org/abs/1901.05335v1
• [cs.LG]AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools
Miguel de Prado, Jing Su, Rozenn Dahyot, Rabia Saeed, Lorenzo Keller, Noelia Vallez
http://arxiv.org/abs/1901.05049v1
• [cs.LG]CFOF: A Concentration Free Measure for Anomaly Detection
Fabrizio Angiulli
http://arxiv.org/abs/1901.04992v1
• [cs.LG]MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng
http://arxiv.org/abs/1901.04997v1
• [cs.LG]Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1901.05123v1
• [cs.LG]ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
Jacob Beck, Zoe Papakipos, Michael Littman
http://arxiv.org/abs/1901.05101v1
• [cs.LG]Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
http://arxiv.org/abs/1901.05351v1
• [cs.LG]TensorFlow.js: Machine Learning for the Web and Beyond
Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viegas, Martin Wattenberg
http://arxiv.org/abs/1901.05350v1
• [cs.NE]The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems
Lukas Kades, Jan M. Pawlowski
http://arxiv.org/abs/1901.05214v1
• [cs.PL]Predicting Variable Types in Dynamically Typed Programming Languages
Abhinav Jangda, Gaurav Anand
http://arxiv.org/abs/1901.05138v1
• [cs.RO]GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving
Bogdan Trasnea, Andrei Vasilcoi, Claudiu Pozna, Sorin Grigorescu
http://arxiv.org/abs/1901.05195v1
• [cs.RO]Timely Negotiation and Correction of Shared Intentions With Body Motion
Raphael Deimel
http://arxiv.org/abs/1901.05256v1
• [cs.RO]Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Xin Huang, Stephen McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
http://arxiv.org/abs/1901.05105v1
• [cs.SD]Spectrogram Feature Losses for Music Source Separation
Abhimanyu Sahai, Romann Weber, Brian McWilliams
http://arxiv.org/abs/1901.05061v1
• [cs.SI]Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention
Gunagmo Tong, Ding-Zhu Du
http://arxiv.org/abs/1901.05149v1
• [cs.SI]Location, Occupation, and Semantics based Socioeconomic Status Inference on Twitter
Jacobo Levy Abitbol, Márton Karsai, Eric Fleury
http://arxiv.org/abs/1901.05389v1
• [cs.SI]Weighted Label Propagation Algorithm based on Local Edge Betweenness
Hamid Shahrivari Joghan, Alireza Bagheri, Meysam Azad
http://arxiv.org/abs/1901.05359v1
• [eess.SP]Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network
Mustafa Talha Avcu, Zhuo Zhang, Derrick Wei Shih Chan
http://arxiv.org/abs/1901.05305v1
• [hep-ex]LHC analysis-specific datasets with Generative Adversarial Networks
Bobak Hashemi, Nick Amin, Kaustuv Datta, Dominick Olivito, Maurizio Pierini
http://arxiv.org/abs/1901.05282v1
• [math.NA]Algorithms for -based semi-supervised learning on graphs
Mauricio Flores Rios, Jeff Calder, Gilad Lerman
http://arxiv.org/abs/1901.05031v1
• [math.OC]DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Rixon Crane, Fred Roosta
http://arxiv.org/abs/1901.05134v1
• [math.OC]Optimization Models for Machine Learning: A Survey
Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya
http://arxiv.org/abs/1901.05331v1
• [math.ST]Bayesian sequential least-squares estimation for the drift of a Wiener process
Erik Ekström, Ioannis Karatzas, Juozas Vaicenavicius
http://arxiv.org/abs/1901.05410v1
• [math.ST]Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes with infinite variance
Vytautė Pilipauskaitė, Viktor Skorniakov, Donatas Surgailis
http://arxiv.org/abs/1901.05380v1
• [math.ST]On posterior contraction of parameters and interpretability in Bayesian mixture modeling
Aritra Guha, Nhat Ho, XuanLong Nguyen
http://arxiv.org/abs/1901.05078v1
• [math.ST]The median of a jittered Poisson distribution
Jean-François Coeurjolly, Joëlle Rousseau-Trépanier
http://arxiv.org/abs/1901.05367v1
• [math.ST]Tracy-Widom limit for the largest eigenvalue of high-dimensional covariance matrices in elliptical distributions
Jun Wen, Wang Zhou
http://arxiv.org/abs/1901.05166v1
• [physics.ed-ph]Using CoCalc as a Training Tool for Mathematics Teachers Pre-Service Training
Maiia Popel
http://arxiv.org/abs/1901.05139v1
• [physics.soc-ph]On the frequency and severity of interstate wars
Aaron Clauset
http://arxiv.org/abs/1901.05086v1
• [q-bio.GN]Determining Multifunctional Genes and Diseases in Human Using Gene Ontology
Hisham Al-Mubaid, Sasikanth Potu, M. Shenify
http://arxiv.org/abs/1901.04847v1
• [q-bio.PE]On a family of stochastic SVIR influenza epidemic models and maximum likelihood estimation
Divine Wanduku
http://arxiv.org/abs/1901.05315v1
• [quant-ph]Machine learning applied to quantum synchronization-assisted probing
Gabriel Garau Estarellas, Gian Luca Giorgi, Miguel C. Soriano, Roberta Zambrini
http://arxiv.org/abs/1901.05230v1
• [quant-ph]The RGB No-Signalling Game
Xavier Coiteux-Roy, Claude Crépeau
http://arxiv.org/abs/1901.05062v1
• [stat.AP]How to Host a Data Competition: Statistical Advice for Design and Analysis of a Data Competition
Christine M. Anderson-Cook, Kary L. Myers, Lu Lu, Michael L. Fugate, Kevin R. Quinlan, Norma Pawley
http://arxiv.org/abs/1901.05356v1
• [stat.AP]Improving linear quantile regression for replicated data
Kaushik Jana, Debasis Sengupta
http://arxiv.org/abs/1901.05369v1
• [stat.AP]Multivariate mixed membership modeling: Inferring domain-specific risk profiles
Massimiliano Russo, Burton H. Singer, David B. Dunson
http://arxiv.org/abs/1901.05191v1
• [stat.AP]Novel metrics for quantifying the capacity of subgroup-defining variables to yield efficient treatment rules
Mohsen Sadatsafavi, Mohammad Mansournia, Paul Gustafson
http://arxiv.org/abs/1901.05124v1
• [stat.AP]Six-Day Footraces in the Post-Pedestrianism Era
Greg Salvesen
http://arxiv.org/abs/1901.04610v2
• [stat.ME]A Note on the Estimation Method of Intervention Effects based on Statistical Decision Theory
Shunsuke Horii, Tota Suko
http://arxiv.org/abs/1901.05186v1
• [stat.ME]A nonparametric super-efficient estimator of the average treatment effect
David Benkeser, Weixin Cai, Mark J van der Laan
http://arxiv.org/abs/1901.05056v1
• [stat.ME]Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models
Shiwei Lan
http://arxiv.org/abs/1901.04030v2
• [stat.ME]On the Estimation of Population Size from a Dependent Triple Record System
Kiranmoy Chatterjee, Prajamitra Bhuyan
http://arxiv.org/abs/1901.05194v1
• [stat.ME]Smooth Adjustment for Correlated Effects
Yuehan Yang, Hu Yang
http://arxiv.org/abs/1901.05229v1
• [stat.ME]Two-stage Circular-circular Regression with Rounding Error: An Application to Cataract Surgery Data
Jayant Jha, Prajamitra Bhuyan
http://arxiv.org/abs/1901.05178v1
• [stat.ML]A Primer on PAC-Bayesian Learning
Benjamin Guedj
http://arxiv.org/abs/1901.05353v1
• [stat.ML]Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques
Dan Lu, Daniel Ricciuto
http://arxiv.org/abs/1901.05125v1
• [stat.ML]The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Anna Guitart, Pei Pei Chen, África Periáñez
http://arxiv.org/abs/1901.05147v1
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