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Supervised learning
Results: 1557

#	Item
691	Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text Jong-Hoon Oh, Ichiro Yamada, Kentaro Torisawa, and Stijn De Saeger Language Infrastructure Group, MASTAR Proj Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-08-22 02:40:31 Statistics Hyponymy Science Information extraction Support vector machine Co-training Classifier Supervised learning Linguistics Lexical semantics Natural language processing
692	Automated Text Classification in the DMOZ Hierarchy Lachlan Henderson November 6, 2009 Abstract The growth in the availability of on-line digital text documents has prompted Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-12-04 02:20:11 Information science Information retrieval Statistical classification Natural language processing Data mining Linear classifier Centroid Supervised learning Rocchio Classification Statistics Algebra Machine learning
693	Learning for Stereo Vision Using the Structured Support Vector Machine Yunpeng Li Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-07-27 07:57:45 Statistical inference Statistical classification Statistical models Loss function Parametric model Maximum likelihood Support vector machine Expectation–maximization algorithm Supervised learning Statistics Statistical theory Estimation theory
694	Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms Xinhua Zhang∗ Statistical Machine Learning Program National ICT Australia, Canberra, Australia and CSL, RSISE, ANU, Canberra, Australia Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:52 Theoretical computer science Semi-supervised learning Supervised learning Graph Tree Flow network Active learning Graph theory Machine learning Mathematics
695	JMLR: Workshop and Conference Proceedings[removed]–24 Yahoo! Learning to Rank Challenge Yahoo! Learning to Rank Challenge Overview Olivier Chapelle∗ Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2011-01-30 18:01:35 Searching Learning to rank Natural language processing Internet search Ranking function Search engine indexing Supervised learning Discounted cumulative gain Web search query Information science Information retrieval Machine learning
696	On Efficient Agnostic Learning of Linear Combinations of Basis Functions Wee Sun Lee Dept. of Systems Engineering, RSISE, Aust. National University, Canberra, ACT 0200, Australia. Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:23:34 Probably approximately correct learning Inner product space Polynomial Function Computational complexity theory Machine learning Supervised learning Empirical risk minimization Mathematics Mathematical analysis Computational learning theory
697	Agris on-line Papers in Economics and Informatics Volume VI Number 4, 2014 Rainfall Forecast Analysis using Rough Set Attribute Reduction Add to Reading List Source URL: online.agris.cz Language: English - Date: 2014-12-19 02:19:09 Theoretical computer science Decision trees Rough set Data mining Weka Linear classifier Feature selection Naive Bayes classifier Supervised learning Statistics Machine learning Statistical classification
698	Nonparametric Classification with Polynomial MPMC Cascades Sander M. Bohte Department of Software Engineering, CWI, The Netherlands Department of Computer Science, University of Colorado at Boulder, USA Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2004-05-10 04:58:54 Statistical classification Econometrics Neural networks Learning Perceptron Time complexity Algorithm Supervised learning Machine learning Statistics Theoretical computer science Applied mathematics
699	Machine Learning, vv, 1–[removed]c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. An Empirical Comparison of Voting Classification Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 1998-10-19 18:24:53 Statistical classification Computational statistics Statistical inference AdaBoost Boosting Supervised learning Naive Bayes classifier Bootstrap aggregating Multiclass classification Statistics Machine learning Ensemble learning
700	When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of Edinburgh Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-03-08 04:44:56 Machine learning Regression analysis Actuarial science Generative model Naive Bayes classifier Supervised learning Conditional probability distribution Instrumental variable Linear regression Statistics Statistical models Econometrics

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