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Feature learning
Results: 920

#	Item
431	Learning Classifiers for Misuse and Anomaly Detection Using a Bag of System Calls Representation Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:38:00 Data mining Anomaly detection Misuse detection Intrusion detection system Synthetic data Host-based intrusion detection system Feature Information Data security Statistics Information technology management
432	LMS-Feature-Comparison.xls Add to Reading List Source URL: www.flextraining.com Language: English - Date: 2015-04-06 10:12:51 Sage E-learning Google Chrome Software Freedesktop.org X Window System
433	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
434	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
435	PKUICST at TREC 2014 Microblog Track: Feature Extraction for Effective Microblog Search and Adaptive Clustering Algorithms for TTG ∗ Chao Lv Feifan Fan Runwei Qiang Yue Fei Jianwu Yang Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-03-24 14:40:19 Relevance Cluster analysis Learning to rank Vector space model Twitter Tf*idf Okapi BM25 Query expansion Precision and recall Information science Information retrieval Science
436	feature Testing, Testing What Alberta can learn from Finland about standardization and the role of the teacher. Add to Reading List Source URL: pasisahlberg.com Language: English - Date: 2013-02-03 15:26:24 Education reform Education in Finland Teacher Special education E-learning Charter school Diane Ravitch Merit pay Programme for International Student Assessment Education Youth Alternative education
437	1 NIPS 2003 Feature Selection Competition Yi-Wei Chen and Chih-Jen Lin Department of Computer Science Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-15 18:02:48 Model selection Support vector machine Feature selection Random forest Machine learning Statistics Statistical classification
438	Microsoft Word - NIPS Feature Selection Challenge.doc Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-07 07:12:08 Dimension reduction Feature selection Image processing Feature Statistical classification Confidence interval Statistics Machine learning Model selection
439	Boosting Flexible Learning Ensembles with Dynamic Feature Selection Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-15 08:14:06 Econometrics Machine learning Decision tree learning Random forest Feature selection Linear regression Statistics Regression analysis Decision trees
440	Microsoft Word - TRIPPER_updated.doc Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:36:42 Decision trees Computational linguistics Bayesian statistics Pruning Feature selection WordNet Rule induction Naive Bayes classifier Classification rule Statistics Machine learning Statistical classification

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