cond-mat.dis-nn - 无序系统与神经网络
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.DB - 数据库
cs.DM - 离散数学
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.RO - 机器人学
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
math.ST - 统计理论
q-bio.GN - 基因组学
q-fin.ST - 统计金融学
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Dreaming neural networks: rigorous results
• [cs.AI]Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
• [cs.AI]Example and Feature importance-based Explanations for Black-box Machine Learning Models
• [cs.AI]Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents
• [cs.AI]On the Relative Expressiveness of Bayesian and Neural Networks
• [cs.AI]Reasoning and Facts Explanation in Valuation Based Systems
• [cs.AI]Relevant Attributes in Formal Contexts
• [cs.AI]Solution Dominance over Constraint Satisfaction Problems
• [cs.CL]Analysis Methods in Neural Language Processing: A Survey
• [cs.CL]Sources of Complexity in Semantic Frame Parsing for Information Extraction
• [cs.CL]Symbolic inductive bias for visually grounded learning of spoken language
• [cs.CL]Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
• [cs.CV]3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
• [cs.CV]3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks
• [cs.CV]A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection
• [cs.CV]A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
• [cs.CV]Canonical Correlation Analysis for Misaligned Satellite Image Change Detection
• [cs.CV]Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection
• [cs.CV]ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
• [cs.CV]Densely Semantically Aligned Person Re-Identification
• [cs.CV]Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN
• [cs.CV]Face Hallucination Revisited: An Exploratory Study on Dataset Bias
• [cs.CV]Learning Compositional Representations for Few-Shot Recognition
• [cs.CV]Learning from Web Data: the Benefit of Unsupervised Object Localization
• [cs.CV]Multi-component Image Translation for Deep Domain Generalization
• [cs.CV]Polygonal approximation of digital planar curve using novel significant measure
• [cs.CV]Quicker ADC : Unlocking the hidden potential of Product Quantization with SIMD
• [cs.CV]Saliency Guided Hierarchical Robust Visual Tracking
• [cs.CV]Slimmable Neural Networks
• [cs.CY]Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
• [cs.CY]Mobile Crowdsourced Sensors Selection for Journey Services
• [cs.CY]Study on A High-integrated Cloud-Based Customer Relationship Management System
• [cs.DB]Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
• [cs.DB]Speeding-up the Verification Phase of Set Similarity Joins in the GPGPU paradigm
• [cs.DM]Using First Hitting Times to Find Sets that Maximize the Convergence Rate to Consensus
• [cs.HC]The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
• [cs.IR]Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
• [cs.IR]Wikipedia Text Reuse: Within and Without
• [cs.IT]A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields
• [cs.IT]Doppler Effect Assisted Wireless Communication for Interference Mitigation
• [cs.IT]MDS codes with Hermitian hulls of arbitrary dimensions and their quantum error correction
• [cs.IT]Reed-Solomon-Gabidulin Codes
• [cs.IT]Spatially Random Relay Selection for Full/Half-Duplex Cooperative NOMA Networks
• [cs.LG]A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
• [cs.LG]A new approach to learning in Dynamic Bayesian Networks (DBNs)
• [cs.LG]An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
• [cs.LG]An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
• [cs.LG]Cluster validity index based on Jeffrey divergence
• [cs.LG]Feature-Wise Bias Amplification
• [cs.LG]Generative Models from the perspective of Continual Learning
• [cs.LG]Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
• [cs.LG]Learning to Navigate the Web
• [cs.LG]Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
• [cs.LG]Multimodal Sensor Fusion In Single Thermal image Super-Resolution
• [cs.LG]NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
• [cs.LG]Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
• [cs.LG]Nonparametric Feature Extraction from Dendrograms
• [cs.LG]Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning
• [cs.LG]Primal path algorithm for compositional data analysis
• [cs.LG]Stochastic Doubly Robust Gradient
• [cs.RO]Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots
• [cs.RO]ResQbot: A Mobile Rescue Robot with Immersive Teleperception for Casualty Extraction
• [cs.SE]Software Reliability Growth Models Predict Autonomous Vehicle Disengagement Events
• [cs.SI]COSINE: Compressive Network Embedding on Large-scale Information Networks
• [cs.SI]Neural Diffusion Model for Microscopic Cascade Prediction
• [math.ST]Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
• [math.ST]Isotonic Regression in Multi-Dimensional Spaces and Graphs
• [math.ST]Marginal and Conditional Multiple Inference in Linear Mixed Models
• [math.ST]Multinomial Goodness-of-Fit Based on U-Statistics: High-Dimensional Asymptotic and Minimax Optimality
• [math.ST]Point processes on directed linear network
• [math.ST]Spatial Blind Source Separation
• [math.ST]Structured space-sphere point processes and -functions
• [math.ST]The FDR-Linking Theorem
• [math.ST]Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
• [q-bio.GN]Pan-Cancer Epigenetic Biomarker Selection from Blood Samples Using SAS
• [q-fin.ST]Econometric modelling and forecasting of intraday electricity prices
• [stat.AP]A paradox in random-effects meta-analysis
• [stat.AP]Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study
• [stat.AP]Automatic cry analysis and classification for infant pain assessment
• [stat.AP]Bayesian Manifold-Constrained-Prior Model for an Experiment to Locate Xce
• [stat.AP]Optimal wind-solar energy mix in Italy: Impact of climate variability
• [stat.AP]Uncertainty evalutation through data modelling for dimensional nanoscale measurements
• [stat.CO]Efficient Calculation of the Joint Distribution of Order Statistics
• [stat.CO]GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
• [stat.ME]Autoregressive Models for Matrix-Valued Time Series
• [stat.ME]Global and Local Two-Sample Tests via Regression
• [stat.ME]Regression modelling of interval censored data based on the adaptive ridge procedure
• [stat.ML]Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs
• [stat.ML]Ecological Data Analysis Based on Machine Learning Algorithms
• [stat.ML]Low-rank Approximation of Linear Maps
• [stat.ML]Persistence Bag-of-Words for Topological Data Analysis
·····································
• [cond-mat.dis-nn]Dreaming neural networks: rigorous results
Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi
http://arxiv.org/abs/1812.09077v1
• [cs.AI]Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong
http://arxiv.org/abs/1812.08947v1
• [cs.AI]Example and Feature importance-based Explanations for Black-box Machine Learning Models
Ajaya Adhikari, D. M. J Tax, Riccardo Satta, Matthias Fath
http://arxiv.org/abs/1812.09044v1
• [cs.AI]Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents
Hussein Abbass, John Harvey, Kate Yaxley
http://arxiv.org/abs/1812.08960v1
• [cs.AI]On the Relative Expressiveness of Bayesian and Neural Networks
Arthur Choi, Ruocheng Wang, Adnan Darwiche
http://arxiv.org/abs/1812.08957v1
• [cs.AI]Reasoning and Facts Explanation in Valuation Based Systems
S. T. Wierzchoń, M. A. Kłopotek, M. Michalewicz
http://arxiv.org/abs/1812.09086v1
• [cs.AI]Relevant Attributes in Formal Contexts
Tom Hanika, Maren Koyda, Gerd Stumme
http://arxiv.org/abs/1812.08868v1
• [cs.AI]Solution Dominance over Constraint Satisfaction Problems
Tias Guns, Peter J. Stuckey, Guido Tack
http://arxiv.org/abs/1812.09207v1
• [cs.CL]Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
http://arxiv.org/abs/1812.08951v1
• [cs.CL]Sources of Complexity in Semantic Frame Parsing for Information Extraction
Gabriel Marzinotto, Frédéric Béchet, Géraldine Damnati, Alexis Nasr
http://arxiv.org/abs/1812.09193v1
• [cs.CL]Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała
http://arxiv.org/abs/1812.09244v1
• [cs.CL]Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
Bo-Hsiang Tseng, Florian Kreyssig, Pawel Budzianowski, Inigo Casanueva, Yen-Chen Wu, Stefan Ultes, Milica Gasic
http://arxiv.org/abs/1812.08879v1
• [cs.CV]3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, H. Rolf Jäger, M. Jorge Cardoso
http://arxiv.org/abs/1812.09046v1
• [cs.CV]3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks
Soo Ye Kim, Jeongyeon Lim, Taeyoung Na, Munchurl Kim
http://arxiv.org/abs/1812.09079v1
• [cs.CV]A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection
Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1812.08983v1
• [cs.CV]A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Chang Liu, Zhaowei Shang, Anyong Qin
http://arxiv.org/abs/1812.09131v1
• [cs.CV]Canonical Correlation Analysis for Misaligned Satellite Image Change Detection
Hichem Sahbi
http://arxiv.org/abs/1812.09280v1
• [cs.CV]Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection
Hichem Sahbi
http://arxiv.org/abs/1812.09119v1
• [cs.CV]ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
http://arxiv.org/abs/1812.08934v1
• [cs.CV]Densely Semantically Aligned Person Re-Identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen
http://arxiv.org/abs/1812.08967v1
• [cs.CV]Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN
Erez Yahalomi, Michael Chernofsky, Michael Werman
http://arxiv.org/abs/1812.09025v1
• [cs.CV]Face Hallucination Revisited: An Exploratory Study on Dataset Bias
Klemen Grm, Martin Pernuš, Leo Cluzel, Walter Scheirer, Simon Dobrišek, Vitomir Štruc
http://arxiv.org/abs/1812.09010v1
• [cs.CV]Learning Compositional Representations for Few-Shot Recognition
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
http://arxiv.org/abs/1812.09213v1
• [cs.CV]Learning from Web Data: the Benefit of Unsupervised Object Localization
Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang
http://arxiv.org/abs/1812.09232v1
• [cs.CV]Multi-component Image Translation for Deep Domain Generalization
Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan
http://arxiv.org/abs/1812.08974v1
• [cs.CV]Polygonal approximation of digital planar curve using novel significant measure
Mangayarkarasi Ramaiah, Dilip K. Prasad
http://arxiv.org/abs/1812.09271v1
• [cs.CV]Quicker ADC : Unlocking the hidden potential of Product Quantization with SIMD
Fabien André, Anne-Marie Kermarrec, Nicolas Le Scouarnec
http://arxiv.org/abs/1812.09162v1
• [cs.CV]Saliency Guided Hierarchical Robust Visual Tracking
Fangwen Tu, Shuzhi Sam Ge, Yazhe Tang, Chang Chieh Hang
http://arxiv.org/abs/1812.08973v1
• [cs.CV]Slimmable Neural Networks
Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas Huang
http://arxiv.org/abs/1812.08928v1
• [cs.CY]Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program
Xi Chen, Gregory S. Gutmann, Joe Bungo
http://arxiv.org/abs/1812.08671v2
• [cs.CY]Mobile Crowdsourced Sensors Selection for Journey Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya
http://arxiv.org/abs/1812.08877v1
• [cs.CY]Study on A High-integrated Cloud-Based Customer Relationship Management System
Emre Erturk, Song He
http://arxiv.org/abs/1812.09005v1
• [cs.DB]Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Anurag Mishra
http://arxiv.org/abs/1812.09233v1
• [cs.DB]Speeding-up the Verification Phase of Set Similarity Joins in the GPGPU paradigm
Christos Bellas, Anastasios Gounaris
http://arxiv.org/abs/1812.09141v1
• [cs.DM]Using First Hitting Times to Find Sets that Maximize the Convergence Rate to Consensus
Fern Y. Hunt
http://arxiv.org/abs/1812.08881v1
• [cs.HC]The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Li Zhou, Jianfeng Gao, Di Li, Heung-Yeung Shum
http://arxiv.org/abs/1812.08989v1
• [cs.IR]Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
Keping Bi, Qingyao Ai, W. Bruce Croft
http://arxiv.org/abs/1812.08870v1
• [cs.IR]Wikipedia Text Reuse: Within and Without
Milad Alshomary, Michael Völske, Tristan Licht, Henning Wachsmuth, Benno Stein, Matthias Hagen, Martin Potthast
http://arxiv.org/abs/1812.09221v1
• [cs.IT]A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields
Xianhua Niu, Chaoping Xing
http://arxiv.org/abs/1812.08993v1
• [cs.IT]Doppler Effect Assisted Wireless Communication for Interference Mitigation
Dushyantha A. Basnayaka, Tharmalingam Ratnarajah
http://arxiv.org/abs/1812.08909v1
• [cs.IT]MDS codes with Hermitian hulls of arbitrary dimensions and their quantum error correction
Lanqiang Li, Shixin Zhu, Li Liu, Xiaoshan Kai
http://arxiv.org/abs/1812.09019v1
• [cs.IT]Reed-Solomon-Gabidulin Codes
Xavier Caruso, Amaury Durand
http://arxiv.org/abs/1812.09147v1
• [cs.IT]Spatially Random Relay Selection for Full/Half-Duplex Cooperative NOMA Networks
Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan, Zhiguo Ding
http://arxiv.org/abs/1812.09104v1
• [cs.LG]A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, Xiangyang Xue
http://arxiv.org/abs/1812.09041v1
• [cs.LG]A new approach to learning in Dynamic Bayesian Networks (DBNs)
E. Benhamou, J. Atif, R. Laraki, A. Auger
http://arxiv.org/abs/1812.09027v1
• [cs.LG]An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell
http://arxiv.org/abs/1812.09178v1
• [cs.LG]An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dongsheng Cao, Defang Ouyang
http://arxiv.org/abs/1812.09073v1
• [cs.LG]Cluster validity index based on Jeffrey divergence
Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou
http://arxiv.org/abs/1812.08891v1
• [cs.LG]Feature-Wise Bias Amplification
Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta
http://arxiv.org/abs/1812.08999v1
• [cs.LG]Generative Models from the perspective of Continual Learning
Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz, Andrei Stoian, David Filliat
http://arxiv.org/abs/1812.09111v1
• [cs.LG]Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Nicolas Vecoven, Damien Ernst, Guillaume Drion
http://arxiv.org/abs/1812.09113v1
• [cs.LG]Learning to Navigate the Web
Izzeddin Gur, Ulrich Rueckert, Aleksandra Faust, Dilek Hakkani-Tur
http://arxiv.org/abs/1812.09195v1
• [cs.LG]Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová
http://arxiv.org/abs/1812.09066v1
• [cs.LG]Multimodal Sensor Fusion In Single Thermal image Super-Resolution
Feras Almasri, Olivier Debeir
http://arxiv.org/abs/1812.09276v1
• [cs.LG]NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
http://arxiv.org/abs/1812.09028v1
• [cs.LG]Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
Yedid Hoshen, Jitendra Malik
http://arxiv.org/abs/1812.08985v1
• [cs.LG]Nonparametric Feature Extraction from Dendrograms
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
http://arxiv.org/abs/1812.09225v1
• [cs.LG]Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning
Gabriel V. de la Cruz, Yunshu Du, Matthew E. Taylor
http://arxiv.org/abs/1812.08904v1
• [cs.LG]Primal path algorithm for compositional data analysis
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
http://arxiv.org/abs/1812.08954v1
• [cs.LG]Stochastic Doubly Robust Gradient
Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung-Kwon Lee, Taeyoon Kim
http://arxiv.org/abs/1812.08997v1
• [cs.RO]Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots
Roni Permana Saputra, Petar Kormushev
http://arxiv.org/abs/1812.09084v1
• [cs.RO]ResQbot: A Mobile Rescue Robot with Immersive Teleperception for Casualty Extraction
Roni Permana Saputra, Petar Kormushev
http://arxiv.org/abs/1812.09134v1
• [cs.SE]Software Reliability Growth Models Predict Autonomous Vehicle Disengagement Events
Robert Merkel
http://arxiv.org/abs/1812.08901v1
• [cs.SI]COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
http://arxiv.org/abs/1812.08972v1
• [cs.SI]Neural Diffusion Model for Microscopic Cascade Prediction
Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan
http://arxiv.org/abs/1812.08933v1
• [math.ST]Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
Bernard Bercu, Jérémie Bigot
http://arxiv.org/abs/1812.09150v1
• [math.ST]Isotonic Regression in Multi-Dimensional Spaces and Graphs
Hang Deng, Cun-Hui Zhang
http://arxiv.org/abs/1812.08944v1
• [math.ST]Marginal and Conditional Multiple Inference in Linear Mixed Models
Peter Kramlinger, Tatyana Krivobokova, Stefan Sperlich
http://arxiv.org/abs/1812.09250v1
• [math.ST]Multinomial Goodness-of-Fit Based on U-Statistics: High-Dimensional Asymptotic and Minimax Optimality
Ilmun Kim
http://arxiv.org/abs/1812.08924v1
• [math.ST]Point processes on directed linear network
Jakob G. Rasmussen, Heidi S. Christensen
http://arxiv.org/abs/1812.09071v1
• [math.ST]Spatial Blind Source Separation
François Bachoc, Marc G. Genton, Klaus Nordhausen, Anne Ruiz-Gazen, Joni Virta
http://arxiv.org/abs/1812.09187v1
• [math.ST]Structured space-sphere point processes and -functions
Jesper Møller, Heidi S. Christensen, Francisco Cuevas-Pacheco, Andreas D. Christoffersen
http://arxiv.org/abs/1812.08986v1
• [math.ST]The FDR-Linking Theorem
Weijie J. Su
http://arxiv.org/abs/1812.08965v1
• [math.ST]Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
Baptiste Broto, Francois Bachoc, Marine Depecker
http://arxiv.org/abs/1812.09168v1
• [q-bio.GN]Pan-Cancer Epigenetic Biomarker Selection from Blood Samples Using SAS
Xi Chen, Jin Xie, Qingcong Yuan
http://arxiv.org/abs/1812.09203v1
• [q-fin.ST]Econometric modelling and forecasting of intraday electricity prices
Michał Narajewski, Florian Ziel
http://arxiv.org/abs/1812.09081v1
• [stat.AP]A paradox in random-effects meta-analysis
Jiandong Shi, Aimin Wu, Tiejun Tong
http://arxiv.org/abs/1812.09061v1
• [stat.AP]Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study
Yaoyuan Vincent Tan, Carol A. C. Flannagan, Lindsay R. Pool, Michael R. Elliott
http://arxiv.org/abs/1812.08855v1
• [stat.AP]Automatic cry analysis and classification for infant pain assessment
Davide Ricossa, Enrico Baccaglini, Elvira Di Nardo, Emilia Parodi, Riccardo Scopigno
http://arxiv.org/abs/1812.09230v1
• [stat.AP]Bayesian Manifold-Constrained-Prior Model for an Experiment to Locate Xce
Alan B. Lenarcic, John D. Calaway, Fernando Pardo-Manuel de Villena, William Valdar
http://arxiv.org/abs/1812.08863v1
• [stat.AP]Optimal wind-solar energy mix in Italy: Impact of climate variability
Tantet Alexis, Stéfanon Marc, Drobinski Philippe, Badosa Jordi, Concettini Silvia, Creti Anna, D'Ambrosio Claudia, Thomopulos Dimitri, Tankov Peter
http://arxiv.org/abs/1812.09181v1
• [stat.AP]Uncertainty evalutation through data modelling for dimensional nanoscale measurements
J. Pétry, B. De Boeck, N. Sebaihi, M. Coenegrachts, T. Caebergs, M. Dobre
http://arxiv.org/abs/1812.09157v1
• [stat.CO]Efficient Calculation of the Joint Distribution of Order Statistics
Jonathan von Schroeder, Thorsten Dickhaus
http://arxiv.org/abs/1812.09063v1
• [stat.CO]GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea
http://arxiv.org/abs/1812.09064v1
• [stat.ME]Autoregressive Models for Matrix-Valued Time Series
Rong Chen, Han Xiao, Dan Yang
http://arxiv.org/abs/1812.08916v1
• [stat.ME]Global and Local Two-Sample Tests via Regression
Ilmun Kim, Ann B. Lee, Jing Lei
http://arxiv.org/abs/1812.08927v1
• [stat.ME]Regression modelling of interval censored data based on the adaptive ridge procedure
Olivier Bouaziz, Eva Lauridsen, Grégory Nuel
http://arxiv.org/abs/1812.09158v1
• [stat.ML]Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs
Kailai Xu, Eric Darve
http://arxiv.org/abs/1812.08883v1
• [stat.ML]Ecological Data Analysis Based on Machine Learning Algorithms
Md. Siraj-Ud-Doula, Md. Ashad Alam
http://arxiv.org/abs/1812.09138v1
• [stat.ML]Low-rank Approximation of Linear Maps
Patrick Heas, Cedric Herzet
http://arxiv.org/abs/1812.09042v1
• [stat.ML]Persistence Bag-of-Words for Topological Data Analysis
Bartosz Zieliński, Michał Lipiński, Mateusz Juda, Matthias Zeppelzauer, Paweł Dłotko
http://arxiv.org/abs/1812.09245v1
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