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TITLE
DATE
VIEWS
A Rhetorical Analysis Approach to Natural Language Processing
By Benjamin Englard · ArXiv: 1301.3547
2013-01-17
0
Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines
By Guillaume Desjardins, Razvan Pascanu, Aaron Courville · ArXiv: 1301.3545
2013-03-19
0
Deep Predictive Coding Networks
By Rakesh Chalasani, Jose C. Principe · ArXiv: 1301.3541
2013-03-18
0
Sparse Penalty in Deep Belief Networks: Using the Mixed Norm Constraint
By Xanadu Halkias, Sebastien Paris, Herve Glotin · ArXiv: 1301.3533
2013-02-25
1
An Efficient Sufficient Dimension Reduction Method for Identifying Genetic Variants of Clinical Significance
By Momiao Xiong, Long Ma · ArXiv: 1301.3528
2013-01-17
0
Anomaly Classification with the Anti-Profile Support Vector Machine
By Wikum Dinalankara, Hector Corrada Bravo · ArXiv: 1301.3514
2013-01-17
0
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
By Tommi Vatanen, Tapani Raiko, Harri Valpola · ArXiv: 1301.3476
2013-03-12
0
Boltzmann Machines and Denoising Autoencoders for Image Denoising
By Kyunghyun Cho · ArXiv: 1301.3468
2013-03-05
0
Multi-agent learning using Fictitious Play and Extended Kalman Filter
By Michalis Smyrnakis · ArXiv: 1301.3347
2013-01-16
0
Barnes-Hut-SNE
By Laurens van der Maaten · ArXiv: 1301.3342
2013-03-11
0
The Expressive Power of Word Embeddings
By Yanqing Chen, Bryan Perozzi, Rami Al-Rfou · ArXiv: 1301.3226
2013-05-31
0
Unsupervised Feature Learning for low-level Local Image Descriptors
By Christian Osendorfer, Justin Bayer, Sebastian Urban · ArXiv: 1301.2840
2013-04-26
0
A Triclustering Approach for Time Evolving Graphs
By Romain Guigour`es, Marc Boulle, Fabrice Rossi (SAMM) · ArXiv: 1301.2659
2013-01-15
0
Information field theory
By Torsten En{ss}lin · ArXiv: 1301.2556
2015-06-12
1
Dating medieval English charters
By Gelila Tilahun, Andrey Feuerverger, Michael Gervers · ArXiv: 1301.2405
2013-01-21
0
Statistical Modeling in Continuous Speech Recognition (CSR)(Invited Talk)
By Steve Young · ArXiv: 1301.2318
2013-01-14
0
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
By Lex Weaver, Nigel Tao · ArXiv: 1301.2315
2013-01-14
0
Maximum Likelihood Bounded Tree-Width Markov Networks
By Nathan Srebro · ArXiv: 1301.2311
2013-01-14
0
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
By Alex, rin Popescul, Lyle H. Ungar · ArXiv: 1301.2303
2013-01-14
1
Direct and Indirect Effects
By Judea Pearl · ArXiv: 1301.2300
2013-01-14
0
Improved learning of Bayesian networks
By Tomas Kocka, Robert Castelo · ArXiv: 1301.2283
2013-01-14
0
Estimating Well-Performing Bayesian Networks using Bernoulli Mixtures
By Geoff A. Jarrad · ArXiv: 1301.2280
2013-01-14
0
Multivariate Information Bottleneck
By Nir Friedman, Ori Mosenzon, Noam Slonim · ArXiv: 1301.2270
2013-01-14
0
Learning the Dimensionality of Hidden Variables
By Gal Elidan, Nir Friedman · ArXiv: 1301.2269
2013-01-14
0
Using Bayesian Networks to Identify the Causal Effect of Speeding in Individual Vehicle/Pedestrian Collisions
By Gary A. Davis · ArXiv: 1301.2264
2013-01-14
0
Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models
By Robert G. Cowell · ArXiv: 1301.2262
2013-01-14
0
Semi-Instrumental Variables: A Test for Instrument Admissibility
By Tianjiao Chu, Richard Scheines, Peter L. Spirtes · ArXiv: 1301.2261
2013-01-14
0
Instrumentality Tests Revisited
By Blai Bonet · ArXiv: 1301.2258
2013-01-14
0
Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach
By Casey C. Bennett, Kris Hauser · ArXiv: 1301.2158
2018-10-09
0
Training Effective Node Classifiers for Cascade Classification
By Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai · ArXiv: 1301.2032
2013-01-11
0
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