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Classification in machine learning
Results: 421

#	Item
281	Co-Training for Domain Adaptation Minmin Chen, Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-22 13:15:05 Supervised learning Co-training Statistical classification Active learning Boosting Linear classifier Pattern recognition Machine learning Artificial intelligence Learning
282	On Using Class-Labels in Evaluation of Clusterings • ◦ ◦ Stephan Günnemann Hans-Peter Kriegel Peer Kröger • Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-09-10 15:10:40 Statistical classification Multivariate statistics Consensus clustering Statistics Machine learning Cluster analysis
283	Efficient Training Set Use For Blood Pressure Prediction in a Large Scale Learning Classifier System Erik Hemberg Kalyan Veeramachaneni Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2013-05-01 13:17:59 Applied mathematics Mathematical optimization Science Artificial intelligence Statistical classification Learning classifier system Fitness approximation Machine learning Genetic programming Evolutionary algorithms Cybernetics Genetic algorithms
284	D A T A M I N I N G Distributed Data Mining in Credit Card Fraud Detection Add to Reading List Source URL: cs.fit.edu Language: English - Date: 1999-11-22 23:24:04 Boosting Statistical classification Classifier Pruning Random subspace method Boosting methods for object categorization Machine learning Ensemble learning AdaBoost
285	Automatically Assigning Research Methods to Journal Articles in the Domain of Social Sciences Judith Eckle-Kohler1,2, Tri-Duc Nghiem1, Iryna Gurevych1,2 Ubiquitous Knowledge Processing (UKP) Lab, Department of Computer S Add to Reading List Source URL: www.asis.org Language: English - Date: 2014-07-19 18:51:51 Machine learning Information science Computational linguistics Natural language processing Data mining Classifier chains Scientific method Multi-label classification Content analysis Science Statistics Knowledge
286	Text Quantification: A Tutorial Fabrizio Sebastiani Qatar Computing Research Institute Qatar Foundation PO Box 5825 – Doha, Qatar E-mail: [removed] Add to Reading List Source URL: nmis.isti.cnr.it Language: English - Date: 2014-11-11 06:46:48 Artificial intelligence Learning Naive Bayes classifier Supervised learning Classifier Support vector machine Quantification Boosting Classification in machine learning Statistics Machine learning Statistical classification
287	Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat Add to Reading List Source URL: www.lhncbc.nlm.nih.gov Language: English - Date: 2015-01-17 17:51:09 Artificial intelligence Pattern recognition K-means clustering Semi-supervised learning Statistical classification Single-linkage clustering Label Machine learning Computational statistics Statistics
288	The Utility of Information Extraction in the Classification of Books Tom Betts, Maria Milosavljevic, and Jon Oberlander School of Informatics, University of Edinburgh, 2 Buccleuch Place, Edinburgh EH8 9LW, UK tom@4angle. Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-23 14:45:01 Parts of speech Multiclass classification Named-entity recognition Classifier Support vector machine Binary classification Information extraction GAZ Statistics Statistical classification Machine learning
289	Gaura neomexicana Wooton var. coloradensis (Rydb.) Munz Classification Tree Used in Model Building Known Distribution in Wyoming Classification Tree Output Add to Reading List Source URL: www.blm.gov Language: English - Date: 2015-01-03 14:48:48 Tree model Wyoming Decision tree learning Linguistics Computational statistics Learning Historical linguistics Machine learning Sociolinguistics
290	Activity Recognition in the Home Using Simple and Ubiquitous Sensors Emmanuel Munguia Tapia Stephen S. Intille Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2007-08-25 15:57:12 Artificial intelligence Technology Activity recognition Cognition Wireless sensor network Supervised learning Statistical classification Sensor Naive Bayes classifier Sensors Statistics Machine learning

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