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Feature vector
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#	Item
141	Feature Stacking for Sentence Classiﬁcation in Evidence-Based Medicine Marco Lui NICTA VRL Department of Computing and Information Systems University of Melbourne [removed] Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2012-11-29 20:03:05 Natural language processing Speech recognition Support vector machine Stacking Machine learning Science Computational linguistics Statistics
142	Feature Selection using Transductive Support Vector Machine Zhi-li Wu, Chun-hung Li Department of Computer Science, Hong Kong Baptist University {vincent,chli}@comp.hkbu.edu.hk Abstract Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-05 03:31:22 Artificial intelligence Statistical classification Computer vision Image processing Support vector machine Vector Feature Statistics Machine learning Transduction
143	JMLR: Workshop and Conference Proceedings[removed]–100 Yahoo! Learning to Rank Challenge Future directions in learning to rank Olivier Chapelle Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2011-01-30 18:02:06 Learning Information retrieval Learning to rank Natural language processing Stability Feature selection Ranking function Support vector machine Data mining Machine learning Statistics Artificial intelligence
144	Ensembles of nearest neighbour classifiers and serial analysis of gene expression Helen Priisalu† Oleg Okun⋆ ⋆ Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Classifier Ensemble learning Support vector machine Binary classification Feature selection Gene expression profiling Statistics Statistical classification Machine learning
145	Microsoft Word - MilenovaYarmusCamposVLDB2005_CameraReady.doc Add to Reading List Source URL: www.oracle.com Language: English Multivariate statistics Statistical classification Support vector machines Oracle Data Mining Cross-validation Dimension reduction Non-negative matrix factorization Feature selection Data mining Statistics Machine learning Model selection
146	Design Tips Newsletter Vector-to-Raster Edition 3 June 2012 Vector to Raster is an often overlooked Cutting Shop feature that can shorten your clean-up time dramatically. It can also turn a single line drawing into an ou Add to Reading List Source URL: www.arborimage.com Language: English - Date: 2013-12-03 21:03:03 Digital geometry Graphic design Vector graphics Raster graphics Visual arts Rasterisation Raster Vectorization Wintopo Graphics file formats Computer graphics Computing
147	552 IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 39, Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2013-11-18 22:15:46 Gain Support vector machine Feature selection Software bug Receiver operating characteristic Boosting methods for object categorization Random naive Bayes Statistics Statistical classification Naive Bayes classifier
148	Direct Kernel Partial Least Squares (DK-PLS): Feature Selection with Sensitivity Analysis Mark J. Embrechts () Kristin Bennett www.drugmining.com Add to Reading List Source URL: clopinet.com Language: English* - Date: 2003-12-19 16:44:36 Partial least squares regression Kernel methods Kernel principal component analysis Support vector machine Kernel Feature selection Principal component analysis Mlpy Statistics Machine learning Multivariate statistics
149	Artif Intell Rev:159–190 DOIs10462Machine learning: a review of classification and combining techniques S. B. Kotsiantis · I. D. Zaharakis · P. E. Pintelas Add to Reading List Source URL: www.cs.bham.ac.uk Language: English - Date: 2008-05-15 09:15:06 Decision trees Statistical classification Supervised learning Perceptron Winnow Feature selection Ensemble learning Support vector machine Pruning Machine learning Statistics Computational statistics
150	Feature engineering for semantic place prediction Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Statistical classification Parts of speech Ensemble learning Linear classifier Support vector machine Supervised learning Classifier Random forest Accelerometer Machine learning Statistics Artificial intelligence

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