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#	Item
221	Minimal Cost Complexity Pruning of Meta-Classifiers Andreas L. Prodromidis Salvatore J. Stolfo Department of Computer Science Columbia University Add to Reading List Source URL: idm-lab.org Language: English - Date: 2005-05-31 06:09:24 Learning Artificial intelligence Ensemble learning Pruning Naive Bayes classifier Classifier Random subspace method AdaBoost Statistics Machine learning Statistical classification
222	11th International Society for Music Information Retrieval Conference (ISMIRA CARTESIAN ENSEMBLE OF FEATURE SUBSPACE CLASSIFIERS FOR MUSIC CATEGORIZATION T. Lidy, R. Mayer, A. Rauber Vienna University of Technolo Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:26 Statistical classification Learning Ensemble learning Information retrieval AdaBoost Support vector machine International Society for Music Information Retrieval Feature selection Classifier Statistics Artificial intelligence Machine learning
223	WP_Koen_W_De_Bock_en_Dirk_Van_den_Poel1 Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2012-09-09 17:15:49 Regression analysis Random subspace method Generalized additive model Statistical classification Learning classifier system Random forest Bootstrapping Feature selection Support vector machine Statistics Machine learning Ensemble learning
224	On hereditary coreflective subcategories of Top Martin Sleziak () Department of Algebra and Number Theory, FMFI UK, Mlynsk´ a dolina, Bratislava, Slovakia Abstract. Let A be a topological spa Add to Reading List Source URL: thales.doa.fmph.uniba.sk Language: English - Date: 2005-09-13 11:35:57 Alexandrov topology Quotient space Sequential space Disjoint union Net Topological space Continuous function Ordinal number Order topology Topology General topology Subspace topology
225	Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS Add to Reading List Source URL: reports-archive.adm.cs.cmu.edu Language: English - Date: 2006-05-18 19:34:23 Bayesian statistics Naive Bayes classifier Calibration Support vector machine Classifier Random subspace method Boosting methods for object categorization Statistics Statistical classification Machine learning
226	2009 21st IEEE International Conference on Tools with Artificial Intelligence Learning Link-Based Classifiers from Ontology-Extended Textual Data Cornelia Caragea Computer Science Department Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-03-12 18:41:15 Bayesian statistics Supervised learning Naive Bayes classifier Classifier Data mining Random subspace method Statistics Machine learning Statistical classification
227	Learning classifiers from distributed, semantically heterogeneous, autonomous data sources by Doina Caragea A dissertation submitted to the graduate faculty Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-01-08 20:51:16 Statistical classification Bayesian statistics Ensemble learning Margin classifier Naive Bayes classifier K-nearest neighbor algorithm Perceptron Weka Random subspace method Statistics Machine learning Artificial intelligence
228	Nuclear Norm Minimization via Active Subspace Selection Cho-Jui Hsieh Department of Computer Science, The University of Texas, Austin, TX 78721, USA Peder A. Olsen Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2014-09-16 02:45:15 Matrix theory Numerical linear algebra Functional analysis Mathematical optimization Singular value decomposition Convex optimization Least squares Projection Eigendecomposition of a matrix Algebra Mathematics Linear algebra
229	Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, July 24-28, 2006 A generalisation of the Oja subspace flow Christfried Webers and Jonathan H. Manton Abstrac Add to Reading List Source URL: web-port.net Language: English - Date: 2013-10-29 01:29:52 Matrices Matrix theory Numerical linear algebra Singular value decomposition Orthogonal matrix Eigenvalues and eigenvectors Matrix Principal component analysis Symmetric matrix Algebra Linear algebra Mathematics
230	Generalization in Holistic versus Analytic Processing of Faces M. Bicego∗ DEIR - University of Sassari, via Torre Tonda, [removed], Sassari (Italy) E. Grosso Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:31 Artificial intelligence Parts of speech Linear classifier Classifier Learning classifier system Eigenface Support vector machine Boosting methods for object categorization Random subspace method Statistics Statistical classification Machine learning

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