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Computational learning theory
Results: 425

#	Item
211	Manifesto from Dagstuhl Perspectives Workshop[removed]Machine Learning Methods for Computer Security Edited by Anthony D. Joseph1 , Pavel Laskov2 , Fabio Roli3 , J. Doug Tygar4 , Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2013-12-02 06:59:30 Security Cyberwarfare Computing Data mining Malware Anomaly detection Computational learning theory Application security Supervised learning Computer network security Machine learning Computer security
212	Exploratory Learning Bhavana Dalvi, William W. Cohen, and Jamie Callan School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 {bbd, wcohen, callan}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-07-01 09:45:45 Machine learning Estimation theory Expectation–maximization algorithm Missing data Semi-supervised learning K-means clustering Algorithm PP Supervised learning Statistics Applied mathematics Computational statistics
213	JMLR: Workshop and Conference Proceedings 27:37–50, 2012 Workshop on Unsupervised and Transfer Learning Autoencoders, Unsupervised Learning, and Deep Architectures Add to Reading List Source URL: jmlr.org Language: English - Date: 2012-06-27 07:20:04 Complexity classes Multivariate statistics Mathematical optimization Data analysis Computational complexity theory Principal component analysis K-means clustering NP Hierarchical clustering Theoretical computer science Statistics Applied mathematics
214	REVISITING SEMI-CONTINUOUS HIDDEN MARKOV MODELS K. Riedhammer1 , T. Bocklet1 , A. Ghoshal2,3 , D. Povey4 1 Pattern Recognition Lab, University of Erlangen-Nuremberg, G ERMANY 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-06-12 09:45:08 Probability and statistics Estimation theory Markov models Bioinformatics Hidden Markov model Mixture model Speech recognition Expectation–maximization algorithm Pattern recognition Statistics Machine learning Computational statistics
215	A Graph-Search Framework for GeneId Ranking (Extended Abstract) William W. Cohen Machine Learning Department Carnegie Mellon University Pittsburgh PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-05-05 13:17:14 Bioinformatics Natural language processing Graph theory BioCreative Information science Word-sense disambiguation Named-entity recognition Graph Computational linguistics Science Linguistics
216	Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition Tianshi Gao Dept. of Electrical Engineering Stanford University Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2011-11-20 00:44:23 Support vector machine FO Multiclass classification Computational complexity theory Big O notation Perceptron Statistics Statistical classification Mathematics
217	JMLR: Workshop and Conference Proceedings[removed]–819 24th Annual Conference on Learning Theory A simple multi-armed bandit algorithm with optimal variation-bounded regret Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-01-02 12:01:12 Operations research Machine learning Analysis of algorithms Computational complexity theory Multi-armed bandit Stochastic optimization Time complexity Algorithm Regret Theoretical computer science Applied mathematics Mathematics
218	Learning Graph Walk Based Similarity Measures for Parsed Text Einat Minkov∗ Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-09-18 14:54:47 Computational linguistics Network theory Shortest path problem Semantic similarity Connectivity Word-sense disambiguation Topology Graph Directed graph Graph theory Mathematics Theoretical computer science
219	Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methods William W. Cohen Center for Automated Learning and Discovery Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-21 12:55:57 Control theory Dynamic programming Markov processes Computational linguistics Machine learning Hidden Markov model Viterbi algorithm Markov chain Named-entity recognition Statistics Markov models Probability and statistics
220	Learning Bayesian Tracking for Motion Estimation? Michael Felsberg and Fredrik Larsson Computer Vision Laboratory, Link¨ oping University, S[removed]Link¨ oping, Sweden Add to Reading List Source URL: liu.diva-portal.org Language: English - Date: 2010-08-19 04:05:22 Control theory Probability and statistics Monte Carlo methods Markov models Computational statistics Particle filter Kalman filter Auxiliary particle filter Markov chain Statistics Estimation theory Robot control

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