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Statistics
9687
papers in Statistics
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Methodology (Stats)
578 Papers
Applications
537 Papers
Machine Learning (Stats)
514 Papers
Statistical Computing
311 Papers
Statistical Theory
304 Papers
Other Statistics
61 Papers
TITLE
DATE
VIEWS
A note on the triangle inequality for the Jaccard distance
By Sven Kosub · ArXiv: 1612.02696
2016-12-09
0
Towards better decoding and language model integration in sequence to sequence models
By Jan Chorowski, Navdeep Jaitly · ArXiv: 1612.02695
2016-12-09
0
Prediction with a Short Memory
By Vatsal Sharan, Sham Kakade, Percy Liang · ArXiv: 1612.02526
2018-06-29
0
Building Communication Skills in a Theoretical Statistics Course
By Amy Wagaman · ArXiv: 1612.02252
2016-12-08
1
Predictive Business Process Monitoring with LSTM Neural Networks
By Niek Tax, Ilya Verenich, Marcello La Rosa · ArXiv: 1612.02130
2017-12-20
0
Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings
By Yuhao Zhang, S, eep Ayyar · ArXiv: 1612.01943
2016-12-07
0
Semi-Supervised Learning with the Deep Rendering Mixture Model
By Tan Nguyen, Wanjia Liu, Ethan Perez · ArXiv: 1612.01942
2016-12-07
0
A Probabilistic Framework for Deep Learning
By Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk · ArXiv: 1612.01936
2016-12-07
0
Invariant Representations for Noisy Speech Recognition
By Dmitriy Serdyuk, Kartik Audhkhasi, Philemon Brakel · ArXiv: 1612.01928
2016-12-07
0
mBART: Multidimensional Monotone BART
By Hugh A. Chipman, Edward I. George, Robert E. McCulloch · ArXiv: 1612.01619
2021-10-11
0
Distributed Gaussian Learning over Time-varying Directed Graphs
By Angelia Nedic, Alex Olshevsky, Cesar A. Uribe · ArXiv: 1612.01600
2016-12-08
0
Improving the Performance of Neural Networks in Regression Tasks Using Drawering
By Konrad Zolna · ArXiv: 1612.01589
2016-12-07
0
MCMC Louvain for Online Community Detection
By Yves Darmaillac, Sebastien Loustau · ArXiv: 1612.01489
2016-12-06
0
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
By Ramon Oliveira, Pedro Tabacof, Eduardo Valle · ArXiv: 1612.01251
2016-12-26
0
Stochastic Longshore Current Dynamics
By Juan M. Restrepo, Shankar C. Venkataramani · ArXiv: 1612.01046
2016-12-06
0
Controlling False Discoveries During Interactive Data Exploration
By Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen · ArXiv: 1612.01040
2016-12-06
0
Estimating latent feature-feature interactions in large feature-rich graphs
By Corrado Monti, Paolo Boldi · ArXiv: 1612.00984
2017-10-10
0
Energy-efficient 8-point DCT Approximations: Theory and Hardware Architectures
By R. J. Cintra, F. M. Bayer, V. A. Coutinho · ArXiv: 1612.00807
2016-12-05
0
Overcoming catastrophic forgetting in neural networks
By James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz · ArXiv: 1612.00796
2022-06-08
0
Not Normal: the uncertainties of scientific measurements
By David C. Bailey · ArXiv: 1612.00778
2017-01-20
0
Asynchronous Stochastic Gradient MCMC with Elastic Coupling
By Jost Tobias Springenberg, Aaron Klein, Stefan Falkner · ArXiv: 1612.00767
2016-12-09
0
Non-Negative Matrix Factorizations for Multiplex Network Analysis
By Vladimir Gligorijevic, Yannis Panagakis, Stefanos Zafeiriou · ArXiv: 1612.00750
2017-01-27
0
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS
By Soumi Chaki, Aurobinda Routray, William K. Mohanty · ArXiv: 1612.00585
2016-12-05
0
Active Search for Sparse Signals with Region Sensing
By Yifei Ma, Roman Garnett, Jeff Schneider · ArXiv: 1612.00583
2016-12-05
0
Extensive Large-Scale Study of Error in Samping-Based Distinct Value Estimators for Databases
By Vinay Deolalikar, Hernan Laffitte · ArXiv: 1612.00476
2016-12-05
0
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes
By Taylor Killian, George Konidaris, Finale Doshi-Velez · ArXiv: 1612.00475
2016-12-05
0
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
By Shehroze Bhatti, Alban Desmaison, Ondrej Miksik · ArXiv: 1612.00380
2016-12-02
1
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
By Damien Lefortier, Adith Swaminathan, Xiaotao Gu · ArXiv: 1612.00367
2017-06-27
0
Classifiers for centrality determination in proton-nucleus and nucleus-nucleus collisions
By Igor Altsybeev, Vladimir Kovalenko · ArXiv: 1612.00312
2017-03-24
1
A New Method for Classification of Datasets for Data Mining
By Singh Vijendra, Hemjyotsana Parashar, Nisha Vasudeva · ArXiv: 1612.00151
2016-12-02
0
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