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Semi-supervised learning
Results: 318

#	Item
221	Combining Link and Content for Collective Active Learning Lixin Shi, Yuhang Zhao, and Jie Tang Dept. of Computer Science and Technology, Tsinghua University Beijing[removed], China {shilixinhere, zhaoyh630}@gmail.com, tan Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Cybernetics Search algorithms Active learning Supervised learning Semi-supervised learning K-nearest neighbor algorithm Reinforcement learning Entropy Genetic algorithm Machine learning Artificial intelligence Learning
222	A Rate Distortion Approach for Semi-Supervised Conditional Random Fields Yang Wang†∗ Gholamreza Haffari†∗ † School of Computing Science Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-12-01 15:40:06 Information Mutual information Rate–distortion theory Supervised learning Information bottleneck method Conditional entropy Entropy Semi-supervised learning Conditional random field Information theory Machine learning Statistics
223	Batch Mode Active Learning for Networked Data LIXIN SHI, YUHANG ZHAO, and JIE TANG, Tsinghua University We study a novel problem of batch mode active learning for networked data. In this problem, data instances are conne Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:48 Learning Active learning Semi-supervised learning Supervised learning Algorithm Support vector machine Markov chain Machine learning Statistics Computational statistics
224	TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH Roland Morzinger and Georg Thallinger ¨ JOANNEUM RESEARCH, Institute of Information Systems & Information Management Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:53:58 Learning Support vector machine Transduction Semi-supervised learning Cross-validation Supervised learning Silicon Valley Microelectronics Machine learning Statistics Artificial intelligence
225	Domain Adaptation with Structural Correspondence Learning John Blitzer Ryan McDonald Fernando Pereira {blitzer\|ryantm\|pereira}@cis.upenn.edu Department of Computer and Information Science, University of Pennsylvania Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2006-11-23 15:37:53 Statistics Learning Semi-supervised learning Co-training Supervised learning Natural language processing Speech recognition Transduction Part-of-speech tagging Machine learning Artificial intelligence Computational linguistics
226	Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors David A. Smith and Jason Eisner Department of Computer Science Johns Hopkins University Balitmore, MD 21218, USA {dasmith,eisner}@jhu.edu Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2007-05-20 23:18:30 Machine learning Computational linguistics Corpus linguistics Computational statistics Natural language processing Parsing Semi-supervised learning Word-sense disambiguation Treebank Linguistics Statistics Science
227	Improving Activity Classification for Health Applications on Mobile Devices using Active and Semi-Supervised Learning Brent Longstaff, Sasank Reddy, Deborah Estrin Center for Embedded Networked Sensing University of Cali Add to Reading List Source URL: research.cens.ucla.edu Language: English - Date: 2010-07-29 14:24:26 Statistical classification Ensemble learning Co-training Supervised learning Naive Bayes classifier Support vector machine Active learning Word-sense disambiguation Classifier Machine learning Statistics Artificial intelligence
228	Combinatorial Markov Random Fields Ron Bekkerman1 , Mehran Sahami2 , and Erik Learned-Miller1 1 Department of Computer Science, University of Massachusetts, Amherst MA 01002, {ronb\|elm}@cs.umass.edu, Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:23 Cluster analysis Expectation–maximization algorithm Mutual information Unsupervised learning Statistical classification Semi-supervised learning Gibbs sampling Consensus clustering Adjusted mutual information Statistics Machine learning Computational statistics
229	Learning to Align from Scratch Gary B. Huang1 Marwan A. Mattar1 Honglak Lee2 Erik Learned-Miller1 1 University of Massachusetts, Amherst, MA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-11-14 19:13:18 Learning Pattern recognition Object recognition Supervised learning Unsupervised learning Semi-supervised learning Support vector machine One-shot learning Machine learning Artificial intelligence Statistics
230	Mining of Cell Assay Images Using Active Semi-Supervised Clustering ∗ Nicolas Cebron and Michael R. Berthold ALTANA Chair for Bioinformatics and Information Mining Department of Computer and Information Science Konstan Add to Reading List Source URL: www.inf.uni-konstanz.de Language: English - Date: 2010-11-08 10:09:25 Geostatistics Multivariate statistics Data mining Fuzzy clustering Segmentation Categorization Unsupervised learning Pattern recognition Constrained clustering Statistics Machine learning Cluster analysis

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