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Computational learning theory
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331	Unit 5 SIMULATION THEORY Lesson 38 Learning objectives: • • Add to Reading List Source URL: businessmanagementcourses.org Language: English - Date: 2007-06-08 11:40:14 Digital electronics Electronic design automation Simulation Computational science Operations research Computer simulation Scientific modelling Monte Carlo method Logic simulation Science Electronic engineering Scientific modeling
332	Adam M. Smith Postdoctoral Researcher Center for Game Science, Dept. Computer Science & Engineering University of Washington • Box[removed] • Seattle, WA[removed]2624 • [removed] • https://adamsmith Add to Reading List Source URL: adamsmith.as Language: English - Date: 2013-12-10 22:11:22 Game artificial intelligence University of California Santa Cruz Jack Baskin School of Engineering Computational learning theory IEEE Conference on Computational Intelligence and Games Ambient intelligence Human-based computation Computer science Computational creativity Video game development Artificial intelligence Expressive Intelligence Studio
333	Computational decision theory and Bayesian methods for exploring sparse structural aberrations in cancer genomes Chris Holmes1 , Professor of Biostatistics, Department of Statistics, & Add to Reading List Source URL: www.samsi.info Language: English - Date: 2014-02-26 14:40:39 Estimation theory Statistical theory Machine learning Bioinformatics Hidden Markov model Markov chain Loss function Bayes estimator Mixture model Statistics Probability and statistics Markov models
334	libalf: the Automata Learning Framework⋆ (Extended Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3, Daniel Neider2 , and David R. Piegdon2 1 Add to Reading List Source URL: libalf.informatik.rwth-aachen.de Language: English - Date: 2009-10-20 05:06:15 Theoretical computer science Models of computation Computer science Cybernetics Finite-state machine Learning automata Algorithm Computational learning theory Deterministic finite automaton Machine learning Automata theory Applied mathematics
335	Olivier Chapelle Criteo 411 Hight Street, Palo Alto CA[removed]removed[removed]Cascade Dr, Sunnyvale, CA 94087 Add to Reading List Source URL: olivier.chapelle.cc Language: English - Date: 2014-05-25 17:33:17 Computational statistics Conference on Neural Information Processing Systems Semi-supervised learning Computational learning theory Support vector machine Learning to rank Supervised learning Transduction Multi-task learning Machine learning Artificial intelligence Learning
336	Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger∗ , Chong Wang† , and Eric Xing‡ arXiv:1311.4780v1 [stat.ML] 19 Nov[removed]Machine Learning Department, Carnegie Mellon University Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-11-19 20:27:52 Statistical inference Econometrics Computational statistics Estimator Fisher information Asymptotic theory Bias of an estimator Normal distribution Markov chain Monte Carlo Statistics Estimation theory Statistical theory
337	Bibliography The following abbreviations are used for frequently cited conferences and journals: AAAI AAMAS ACL AIJ Add to Reading List Source URL: aima.cs.berkeley.edu Language: English - Date: 2009-11-06 17:27:19 Computational linguistics Year of birth missing Logic programming Computational learning theory Word-sense disambiguation Naive Bayes classifier Reason maintenance Cyc Data stream mining Science Artificial intelligence Statistics
338	Journal of Machine Learning Research[removed]1460 Submitted 5/06; Revised 10/06; Published 7/07 Attribute-Efficient and Non-adaptive Learning of Parities and DNF Expressions∗ Add to Reading List Source URL: jmlr.org Language: English - Date: 2007-07-10 13:02:43 Computational complexity theory Probabilistic complexity theory Machine learning Cybernetics Probably approximately correct learning Randomized algorithm Time complexity Parity learning One-way function Theoretical computer science Applied mathematics Analysis of algorithms
339	Learning juntas Elchanan Mossel Microsoft Research [removed] Ryan O’Donnell∗ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-09-08 17:19:32 Computational complexity theory Time complexity Fourier series Mathematics Polynomial Fourier analysis Fourier transform Heat equation Applied mathematics Joseph Fourier Analysis of algorithms
340	Policy Search For Learning Robot Control Using Sparse Data B. Bischoff1 , D. Nguyen-Tuong1 , H. van Hoof2 , A. McHutchon3 , C. E. Rasmussen3 , A. Knoll4 , J. Peters2,5 , M. P. Deisenroth6,2 Abstract— In many complex ro Add to Reading List Source URL: www.ias.tu-darmstadt.de Language: English - Date: 2014-02-24 10:48:15 Neural networks Data analysis Gaussian process Normal distribution Machine learning Radial basis function network Control theory Regression analysis Variance Statistics Cybernetics Computational statistics

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