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Computational learning theory
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21	Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistics Machine learning Computational statistics Statistical models Statistical theory Statistical inference Bootstrapping Cross-validation Stability
22	Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel Experiences To appear in: Proc. of the Fifteenth International Conference on the Synthesis and Simulation of Living System Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2016-04-27 14:27:24 Computational neuroscience Neuroscience Artificial neural networks Cybernetics Cognition Machine learning Computational statistics Hebbian theory Autoencoder Deep learning Feature learning Unsupervised learning
23	Natural Gradient Works Eciently in Learning Shun-ichi Amari RIKEN Frontier Research Program Wako-shi, Hirosawa 2-1, Saitama, JAPAN fax: + Add to Reading List Source URL: www.maths.tcd.ie Language: English - Date: 2009-10-06 06:49:39 Mathematical analysis Mathematics Algebra Differential geometry Riemannian geometry Computational statistics Category theory Information geometry Information theory Normal Logarithm Stochastic gradient descent
24	arXiv:1511.07147v1 [cs.LG] 23 NovA PAC Approach to Application-Specific Algorithm Selection∗ Rishi Gupta Tim Roughgarden Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-11-23 20:51:24 Mathematics Computational complexity theory Applied mathematics NP-complete problems Combinatorial optimization Operations research Mathematical optimization Machine learning Algorithm Greedy algorithm Heuristic Knapsack problem
25	Music and lazy learning Ichiro Fujinaga Peabody Institute, Johns Hopkins University 1 E. Mt. Vernon Place Baltimore, MarylandU. S. A. Add to Reading List Source URL: www.music.mcgill.ca Language: English - Date: 1998-03-09 01:27:55 Machine learning Artificial intelligence Cognitive science Cognition Artificial neural network Intelligence Pattern recognition Computational learning theory Supervised learning Word-sense disambiguation Case-based reasoning Vasant Honavar
26	REVlEW The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning Yaser S. Abu-Mostafa California Institute of Terhnohgy, Pasadcna, CAUSA Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 05:25:09 Computational learning theory Machine learning Learning Mathematics Cognition Statistical classification Empirical process VC dimension Probability distribution Artificial neural network NIP Uniform convergence
27	Verification of Markov Decision Processes using Learning Algorithms? Tom´asˇ Br´azdil1 , Krishnendu Chatterjee2 , Martin Chmel´ık2 , Vojtˇech Forejt3 , Jan Kˇret´ınsk´y2 , Marta Kwiatkowska3 , David Parker4 , a Add to Reading List Source URL: www.hieratic.eu Language: English Computational complexity theory Theory of computation Dynamic programming Markov decision process Stochastic control Analysis of algorithms Mathematical logic Reinforcement learning Time complexity Algorithm PP
28	PREDICTING WHEN TO LAUGH WITH STRUCTURED CLASSIFICATION Bilal Piot1 , Olivier Pietquin2 , Matthieu Geist1 1 SUPELEC IMS-MaLIS research group and UMIGeorgiaTech - CNRS) 2 Add to Reading List Source URL: www.metz.supelec.fr Language: English - Date: 2014-07-15 03:12:51 Theoretical computer science Machine learning Learning Statistical classification Support vector machine Laughter K-nearest neighbors algorithm Algorithm Computational learning theory Artificial neural network NP Reinforcement learning
29	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
30	Inverse Reinforcement Learning for Interactive Systems∗ [Extended Abstract] Olivier Pietquin SUPELEC - UMIGeorgiaTech-CNRS) 2 rue Edouard BelinMetz - France Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2013-10-03 05:33:46 Machine learning Computational linguistics User interface techniques Multimodal interaction User interfaces Reinforcement learning Apprenticeship learning Computational learning theory Speech recognition Intelligent agent Dialog system Dialog manager

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