Support vector machine - PDFSEARCH.IO - Document Search Engine

Support vector machine
Results: 2011

#	Item
841	........................................................................... STAT 538 Final Exam Monday March[removed], 10:30-12:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:37 Bayesian statistics Information theory Statistical classification Randomness Kullback–Leibler divergence Support vector machine Principle of maximum entropy Entropy Bayesian network Statistics Statistical theory Probability and statistics
842	Classiﬁcation of Study Region in Environmental Science Abstracts Jared Willett,♠ Timothy Baldwin,♠♥ David Martinez♥ and Angus Webb♦ ♠ Department of Computing and Information Systems ♥ NICTA Victoria Resea Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2012-11-29 20:03:05 World Wide Web Statistics Geocodes DBpedia Open access Support vector machine Toponymy Geographic information system Natural language processing Semantic Web Place names Science
843	COMPUTER-AIDED GLEASON GRADING OF PROSTATE CANCER HISTOPATHOLOGICAL IMAGES USING TEXTON FORESTS Parmeshwar Khurd, Claus Bahlmann, Peter Maday, Ali Kamen Siemens Corporate Research, Princeton, NJ, USA Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:40:23 Statistical classification Histopathology Cancer staging Gleason Grading System Urology Prostate cancer Support vector machine Grading Histogram Medicine Statistics Machine learning
844	On-line Handwriting Recognition with Support Vector Machines--- A Kernel Approach Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:39:47 Support vector machine Naive Bayes classifier University of Freiburg Statistics Statistical classification Machine learning
845	........................................................................... STAT 538 Final Exam Wednesday March 20, 2013, 4:30-6:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Convex analysis Statistical classification Operations research AdaBoost Ensemble learning Convex optimization Support vector machine XTR Function Mathematics Statistics Mathematical optimization
846	Outcome Polarity Identification of Medical Papers C´ecile Paris Abeed Sarker , Diego Moll´a-Aliod CSIRO – ICT Centre Centre for Language Technology Sydney, NSW 2122 Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2011-12-09 02:14:01 Science Artificial intelligence Automatic summarization Sentiment analysis Negation Polarity item Support vector machine Yes and no Bigram Natural language processing Grammar Linguistics
847	On-line Handwriting Recognition with Support Vector Machines--- A Kernel Approach Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:39:48 Statistical classification Support vector machines Kernel methods Fisher kernel Sequential minimal optimization Dynamic time warping Speech recognition Vector space Pattern recognition Machine learning Statistics Algebra
848	STAT 538 Final Exam Solutions Wednesday March 20, 2013, 4:30-6:20 Marina Meila, mmp@stat • notes and books are allowed • electronic devices are not allowed • Do Well! Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Support vector machine Numerical software Fourier analysis TomSym Statistics Statistical classification Symbol
849	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
850	Postdoc ČZU (ESF/MEYS CZ[removed][removed]Common Chemometric Indicators for Prediction of Soil Organic Matter Content and Quality from Soil Spectra: A Review and Research Perspectives Add to Reading List Source URL: www.fao.org Language: English - Date: 2013-12-15 08:15:24 EVI Support vector machine Calibration Land use Measurement Land management Statistics Soil

UPDATE