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Linear classifier
Results: 393

#	Item
261	9: Support Vector Machines University of Cambridge Engineering Part IIB Paper 4F10: Statistical Pattern Processing Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-11-22 04:56:42 Machine learning Support vector machine Linear classifier Decision boundary Margin classifier Perceptron Vector space Kernel methods Linear discriminant analysis Statistics Algebra Statistical classification
262	UB at TREC-11: Batch and Adaptive Filtering M. Srikanth X. Wu R. Srihari Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 12:02:50 Support vector machine Empirical risk minimization Structural risk minimization Linear classifier Information filtering system Statistics Statistical classification Machine learning
263	Cloud-Enabled Privacy-Preserving Collaborative Learning for Mobile Sensing∗ Bin Liu, Yurong Jiang, Fei Sha, Ramesh Govindan Department of Computer Science University of Southern California Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2013-09-10 15:47:37 Statistical classification Multivariate statistics Support vector machine Principal component analysis Pattern recognition Dimension reduction Euclidean vector K-nearest neighbor algorithm Linear classifier Statistics Machine learning Artificial intelligence
264	Columbia University TRECVID2007 High-Level Feature Extraction Shih-Fu Chang, Wei Jiang, Akira Yanagawa, Eric Zavesky {sfchang,wjiang,akira,emz}@ee.columbia.edu Columbia University Department of Electrical Engineering Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:17:11 Statistical classification Support vector machine Linear classifier Cross-validation Regularization AdaBoost Statistics Machine learning Artificial intelligence
265	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence
266	Informedia at TRECVID 2003 Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2004-03-24 07:10:50 Statistical classification Information retrieval Parts of speech Linear classifier Co-training Supervised learning Perceptron Support vector machine Classifier Machine learning Statistics Artificial intelligence
267	Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks David D. Lewis Independent Consultant 858 W. Armitage Ave., #296 Chicago, IL 60614 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 09:45:02 Support vector machine Linear classifier Information retrieval Binary classification Supervised learning Kernel methods Cross-validation Classifier Precision and recall Statistics Machine learning Statistical classification
268	JUMAS @ TRECVID 2010∗ Bálint Daróczy1 Daniele Falavigna2 Roberto Gretter2 Dávid Nemeskey1 Róbert Pethes1 István Petrás1 András A. Benczúr1 1 Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:26 Artificial intelligence Speech recognition WordNet Information retrieval Linear classifier TRECVID Image retrieval Hidden Markov model Computational linguistics Science Information science
269	Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PA[removed]feisha\|pereira)@cis.upe Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Numerical linear algebra Machine learning Conditional random field Theoretical computer science Statistical classification Perceptron Linear classifier Limited-memory BFGS Preconditioner Statistics Mathematics Applied mathematics
270	POOF: Part-Based One-vs-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation Thomas Berg Columbia University Peter N. Belhumeur Add to Reading List Source URL: thomasberg.org Language: English - Date: 2013-10-20 17:34:55 Statistical classification Computer vision Linear classifier Ensemble learning Histogram of oriented gradients Classifier Supervised learning Random forest Support vector machine Machine learning Statistics Artificial intelligence

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