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Semi-supervised learning
Results: 318

#	Item
241	Semi-supervised learning of geographical gazetteers from the internet Olga Uryupina Computational Linguistics, Saarland University Building 17 Postfach[removed]Saarbr¨ucken, Germany Add to Reading List Source URL: kornai.com Language: English - Date: 2003-04-22 21:31:23 Gazetteer Bootstrapping Statistical classification Statistics Parts of speech Classifier
242	Table of Contents Preface .................................................................................................................................................................... xiii Organization ........... Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-07-25 05:16:19 Supervised learning Cluster analysis Bayesian network Regression analysis Reinforcement learning Hidden Markov model Michael I. Jordan Statistical classification Semi-supervised learning Statistics Machine learning Artificial intelligence
243	Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning Hua-Yan Wang [removed] Key Laboratory of Machine Perception (Ministry of Education), Peking University Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-16 23:50:00 Computational statistics Multiple-instance learning Supervised learning Support vector machine Semi-supervised learning Kernel Statistical classification K-nearest neighbor algorithm Machine learning Artificial intelligence Learning
244	Multi-View Learning over Structured and Non-Identical Outputs Kuzman Ganchev∗ ∗ Computer & Information Science Add to Reading List Source URL: uai2008.cs.helsinki.fi Language: English - Date: 2008-05-16 11:54:26 Statistical classification Neural networks Co-training Linear classifier Perceptron Supervised learning CoBoosting Semi-supervised learning Stability Statistics Machine learning Computational statistics
245	Graph Construction and b-Matching for Semi-Supervised Learning Tony Jebara [removed] Department of Computer Science, Columbia University, New York, NY 10027, USA Jun Wang [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:18 Matching Graph Tree Clique Neighbourhood Graph theory Mathematics Combinatorial optimization
246	Prototype Vector Machine for Large Scale Semi-Supervised Learning Kai Zhang kai [removed] Life Science Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720 James T. Kwok Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:19 Learning Semi-supervised learning Support vector machine Supervised learning Transduction Laplacian matrix Graph Machine learning Statistics Artificial intelligence
247	Asymptotic Analysis of Generative Semi-Supervised Learning Joshua V. Dillon [removed] Krishnakumar Balasubramanian [removed] Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:35 Statistical theory Supervised learning Semi-supervised learning Pattern recognition Maximum likelihood Bias of an estimator Fisher information Variance Statistics Machine learning Estimation theory
248	In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing Limitations of Co-Training for Natural Language Learning from Large Datasets David Pierce and Claire Cardie Department of Compute Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-07-16 12:21:47 Computational statistics Co-training Word-sense disambiguation Active learning Supervised learning Natural language processing Statistical classification Semi-supervised learning Machine learning Artificial intelligence Learning
249	Large Scale Text Classification using Semi-supervised Multinomial Naive Bayes Jiang Su1 [removed] Jelber Sayyad-Shirabad1 Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Computational statistics Semi-supervised learning Supervised learning Document classification Naive Bayes classifier Unsupervised learning Expectation–maximization algorithm Machine learning Statistics Artificial intelligence
250	Two-view Feature Generation Model for Semi-supervised Learning Rie Kubota Ando IBM T.J. Watson Research Center, Hawthorne, New York, USA Tong Zhang Yahoo Inc., New York, New York, USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:57 Supervised learning Linear classifier Semi-supervised learning Discriminative model Naive Bayes classifier Co-training Linear regression Support vector machine Statistics Machine learning Statistical classification

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