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9738 papers in Statistics
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TITLE
DATE
VIEWS
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML
By Xuezhe Ma, Pengcheng Yin, Jingzhou Liu · ArXiv: 1705.07136
2017-10-31
0
Agent-based simulation of the learning dissemination on a Project-Based Learning context considering the human aspects
By Laio Oriel Seman, Romeu Hausmann, Eduardo Augusto Bezerra · ArXiv: 1705.06828
2017-10-18
0
Can rational choice guide us to correct {em de se} beliefs?
By Vincent Conitzer · ArXiv: 1705.06332
2017-05-19
1
Transfer Learning for Named-Entity Recognition with Neural Networks
By Ji Young Lee, Franck Dernoncourt, Peter Szolovits · ArXiv: 1705.06273
2017-05-18
0
Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research
By Vincent Major, Alisa Surkis, Yindalon Aphinyanaphongs · ArXiv: 1705.06262
2018-07-11
0
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
By Franck Dernoncourt, Ji Young Lee, Peter Szolovits · ArXiv: 1705.05487
2017-05-17
1
Bayesian Decision Making in Groups is Hard
By Jan Hk{a}z{l}a, Ali Jadbabaie, Elchanan Mossel · ArXiv: 1705.04770
2022-01-21
0
Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse
By Jonas v{S}ukys, Ursula Rasthofer, Fabian Wermelinger · ArXiv: 1705.04374
2017-11-09
0
Neural Style Transfer: A Review
By Yongcheng Jing, Yezhou Yang, Zunlei Feng · ArXiv: 1705.04058
2018-10-31
0
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
By Michael T. Lash, Jason Slater, Philip M. Polgreen · ArXiv: 1705.03540
2017-07-11
0
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data
By Hamid Reza Hassanzadeh, Ying Sha, May D. Wang · ArXiv: 1705.03508
2017-05-11
0
AirDraw: Leveraging Smart Watch Motion Sensors for Mobile Human Computer Interactions
By Seyed A Sajjadi, Danial Moazen, Ani Nahapetian · ArXiv: 1705.02689
2017-05-09
0
Finding Bottlenecks: Predicting Student Attrition with Unsupervised Classifier
By Seyed Sajjadi, Bruce Shapiro, Christopher McKinlay · ArXiv: 1705.02687
2017-05-09
0
People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities
By Subhabrata Mukherjee, Gerhard Weikum · ArXiv: 1705.02667
2017-05-16
0
Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks
By Jonathan Chang, Stefan Scherer · ArXiv: 1705.02394
2017-05-09
1
Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach
By Masahito Ohue, Takuro Yamazaki, Tomohiro Ban · ArXiv: 1705.01667
2021-05-04
0
Channel Estimation for Diffusive MIMO Molecular Communications
By S. Mohammadreza Rouzegar, Umberto Spagnolini · ArXiv: 1705.00971
2018-01-23
0
Search for Evergreens in Science: A Functional Data Analysis
By Ruizhi Zhang, Jian Wang, Yajun Mei · ArXiv: 1705.00359
2017-06-19
0
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems
By Sumit Sidana, Mikhail Trofimov, Oleg Horodnitskii · ArXiv: 1705.00105
2021-09-15
0
Generative Modeling with Conditional Autoencoders: Building an Integrated Cell
By Gregory R. Johnson, Rory M. Donovan-Maiye, Mary M. Maleckar · ArXiv: 1705.00092
2017-05-02
3
Calibration of a two-state pitch-wise HMM method for note segmentation in Automatic Music Transcription systems
By Dorian Cazau, Yuancheng Wang, Olivier Adam · ArXiv: 1704.08729
2017-05-01
0
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines
By Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson · ArXiv: 1704.08306
2017-04-28
1
Modeling and replicating statistical topology, and evidence for CMB non-homogeneity
By Robert J. Adler, Sarit Agami, Pratyush Pranav · ArXiv: 1704.08248
2022-06-08
2
The loss surface of deep and wide neural networks
By Quynh Nguyen, Matthias Hein · ArXiv: 1704.08045
2017-06-14
0
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
By Zhi Li, Wei Shi, Ming Yan · ArXiv: 1704.07807
2021-02-02
1
Information vs. Uncertainty as the Foundation for a Science of Environmental Modeling
By Grey Nearing, Hoshin Gupta · ArXiv: 1704.07512
2017-04-26
0
Using Global Constraints and Reranking to Improve Cognates Detection
By Michael Bloodgood, Benjamin Strauss · ArXiv: 1704.07050
2017-08-22
1
Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case
By Bicheng Ying, Ali H. Sayed · ArXiv: 1704.06025
2017-04-21
2