Computational learning theory - PDFSEARCH.IO - Document Search Engine

Computational learning theory
Results: 425

#	Item
11	–Independent Work Report Spring,2014– Exploring Self-Organizing Learning Groups in an Online Learning Platform: Classroom Salon Brandon Lam Advisor: Dr. Ananda Gunawardena Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-05-16 16:36:56 Graph theory Computational linguistics Mathematics NP-complete problems Knowledge representation Open data Thesauri WordNet Clique Word square
12	Structured Learning for Taxonomy Induction with Belief Propagation Mohit Bansal TTI Chicago David Burkett Add to Reading List Source URL: ttic.uchicago.edu Language: English - Date: 2014-06-20 22:50:38 Graph theory Information science Knowledge representation Open data Graphical models Information Computational linguistics Semantic Web Belief propagation WordNet Taxonomy Ontology
13	RevisedGlossary of Technical Terms Add to Reading List Source URL: www.ruf.rice.edu Language: English - Date: 2009-10-22 13:09:06 Cognition Computational neuroscience Cognitive science Connectionism Learning Philosophy of artificial intelligence Theory of mind Lexeme Linguistics
14	Machine Learning Literature using Textual Features Andreas van Cranenburgh Huygens ING & Institute for Logic, Language and Computation ABSTRACT Add to Reading List Source URL: tinytocs.ece.utexas.edu Language: English - Date: 2016-03-05 17:06:25 Cognitive science Cognition Science Natural language processing Bigram Classical cryptography Literariness Literary theory Literature Computational linguistics Linguistics Prediction
15	TEM Journal–151 Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3 Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-06-03 09:19:27 Statistics Machine learning Applied mathematics Statistical classification Computational neuroscience Computational statistics Estimation theory Artificial neural networks Support vector machine Regression analysis Perceptron Feature selection
16	A Sufficient Condition for Polynomial Distribution-Dependent Learnability Martin Anthony Department of Mathematics London School of Economics Houghton Street Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:26:58 Computational learning theory Machine learning Learning Theoretical computer science Cognition Probably approximately correct learning Sample complexity VC dimension Mode Occam learning Error Tolerance
17	Sequential Decision Making with Untrustworthy Service Providers W. T. Luke Teacy, Georgios Chalkiadakis, Alex Rogers and Nicholas R. Jennings Electronics and Computer Science,University of Southampton Southampton, SO17 1 Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2008-02-08 15:13:13 Cognitive science Artificial intelligence Cognition Philosophy Game theory Computational trust Computer access control Key management Software agent Reinforcement learning Practical reason Trust
18	˘ TUGKAN BATU Department of Mathematics London School of Economics Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2016-07-06 07:30:45 Theoretical computer science Science and technology Computer science Ronitt Rubinfeld Symposium on Discrete Algorithms Computational learning theory Symposium on Theory of Computing Algorithm ACM Transactions on Algorithms ACM SIGACT
19	Sampling-based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato Brown University, Providence, RI 02912, USA Abstract. Sampling a dataset for faster analysis and looking at it Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Mathematics Graph theory Network theory Theoretical computer science Computational learning theory Dimension Statistical classification VC dimension Centrality Sampling Statistics Mode
20	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model

UPDATE