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Support vector machine
Results: 2011

#	Item
851	Learning from User Interactions through Interventions Josef Broder, Olivier Chapelle, Geri Gay, Arpita Ghosh, Laura Granka, Thorsten Joachims, Bobby Kleinberg, Madhu Kurup, Filip Radlinski, Karthik Raman, Tobias Schnabel Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2015-02-10 06:35:46 Artificial intelligence Active learning Kernel methods Information retrieval Support vector machines Statistics Machine learning Learning
852	Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification Daniel Nechay, Yvan Pointurier, and Mark Coates Department of Electrical and Computer Engineering McGill University, Montr´eal, Qu´ Add to Reading List Source URL: www.pointurier.org Language: English - Date: 2009-01-24 03:06:42 Support vector machine Classifier chains Multiclass classification Binary classification Classifier Linear discriminant analysis Gain Boosting methods for object categorization Classification rule Statistics Statistical classification Machine learning
853	Human Mobility, Social Ties, and Link Prediction Dashun Wang1,2 Dino Pedreschi1,3 Chaoming Song1,2 Fosca Giannotti1,4 Albert-László Barabási1,2,5 1 CCNR, Dept. of Physics and Computer Science, Northeastern University, Add to Reading List Source URL: www.barabasilab.com Language: English - Date: 2011-06-30 14:50:37 Supervised learning Support vector machine Homophily Binary classification Link analysis Logistic regression Gain Statistics Machine learning Statistical classification
854	PROTEIN-CHEMICAL INTERACTION PREDICTION VIA KERNELIZED SPARSE LEARNING SVM YI SHI1 , XINHUA ZHANG1 , XIAOPING LIAO2 , GUOHUI LIN1 , DALE SCHUURMANS1 1 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English* - Date: 2013-03-04 01:52:03 Support vector machine Biochemistry G protein-coupled receptor Protein structure Biology Statistical classification Bioinformatics
855	DATA MODELING STRATEGIES FOR IMBALANCED LEARNING IN VISUAL SEARCH Jelena Teˇsi´c Apostol Natsev Lexing Xie Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-01-11 00:40:11 Natural language processing Support vector machine Information retrieval TRECVID Sampling Statistics Statistical classification Artificial intelligence
856	Hyperkernels Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson Research School of Information Sciences and Engineering The Australian National University Canberra, 0200 ACT, Australia Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Operator theory Hilbert space Linear algebra Fourier analysis Reproducing kernel Hilbert space Positive-definite kernel Kernel Support vector machine Multiplier Algebra Mathematics Mathematical analysis
857	Learning to Blend Rankings: a Monotonic Transformation to Blend Rankings from Heterogeneous Domains Zhenzhen Kou Yi Chang, Zhaohui Zheng Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-08-16 13:40:38 Statistics Science Learning to rank Natural language processing Discounted cumulative gain Ranking Web query classification Algorithm Support vector machine Information science Machine learning Information retrieval
858	Bayesian Online Learning for Multi-label and Multi-variate Performance Measures Xinhua Zhang University of Alberta [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-03-31 21:42:25 Support vector machine Supervised learning Sufficient statistic Bayes estimator Statistical classification Bayesian inference Kullback–Leibler divergence Mixture model Statistics Statistical theory Machine learning
859	Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text Jong-Hoon Oh, Ichiro Yamada, Kentaro Torisawa, and Stijn De Saeger Language Infrastructure Group, MASTAR Proj Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-08-22 02:40:31 Statistics Hyponymy Science Information extraction Support vector machine Co-training Classifier Supervised learning Linguistics Lexical semantics Natural language processing
860	New Support Vector Algorithms Bernhard Scholkopf, GMD 1 Alex J. Smola, GMD 2 Robert Williamson, Australian National University 3 Peter Bartlett, Australian National University 4 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 05:30:59 Statistical classification Support vector machine Least squares Robust statistics Variance Quantile regression Least squares support vector machine Statistics Regression analysis Econometrics

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