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Support vector machine
Results: 2011

#	Item
881	Journal of Machine Learning Research[removed]2296 Submitted 5/10; Revised 3/11; Published 7/11 MSVMpack: A Multi-Class Support Vector Machine Package Fabien Lauer Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-11 12:48:17 Support vector machines Least squares support vector machine Machine learning Statistics Statistical classification
882	Journal of Machine Learning Research[removed]1874 Submitted 5/08; Published 8/08 LIBLINEAR: A Library for Large Linear Classification Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2008-08-28 16:04:54 Regression analysis Learning Logistic regression Machine learning Statistics Statistical classification Support vector machine
883	MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Add to Reading List Source URL: spatialanalytics.cis.unimelb.edu.au Language: English - Date: 2015-02-02 23:40:35 Graphics hardware Statistical classification Machine learning Support vector machine Video cards Solid-state drive Cross-validation CUDA Kernel Statistics Computer hardware GPGPU
884	Multi-Task Learning for Learning to Rank in Web Search Jing Bai Ke Zhou, Guirong Xue Yahoo! Labs Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2009-11-16 16:18:36 Learning Computational neuroscience Ensemble learning Cybernetics Learning to rank Gradient boosting Support vector machine Neural network Ranking function Machine learning Statistics Artificial intelligence
885	On the Feasibility of Predicting News Popularity at Cold Start Ioannis Arapakis, B. Barla Cambazoglu, and Mounia Lalmas Yahoo Labs, Barcelona, Spain {arapakis,barla,mounia}-inc.com Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-12-01 06:28:50 Statistical classification Recommender system Twitter Cross-validation Prediction Confusion matrix Support vector machine Naive Bayes classifier Wikipedia Statistics World Wide Web Machine learning
886	Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features J. Abawajy1 , A.V. Kelarev1 , A. Stranieri2 , H.F. Jelinek3 1 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-11-26 06:31:24 Ensemble learning AdaBoost Classifier Naive Bayes classifier Boosting Multiclass classification Binary classification Support vector machine Random forest Machine learning Statistics Statistical classification
887	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 1, JANUARY[removed]Covering Numbers for Support Vector Machines Ying Guo, Student Member, IEEE, Peter L. Bartlett, Member, IEEE, John Shawe-Taylor, Member, IEEE, an Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2002-01-24 23:58:21 Operator theory Hilbert space Statistical classification Kernel Eigenvalues and eigenvectors Positive-definite kernel Inner product space Entropy Support vector machine Algebra Mathematics Linear algebra
888	ARTICLE Communicated by Vladimir Vapnik Estimating the Support of a High-Dimensional Distribution Bernhard Sch olkopf Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2001-08-21 03:24:53 Signal processing Non-parametric statistics Kernel principal component analysis Kernel density estimation Mathematical optimization Vector space Gaussian function Supervised learning Support vector machine Algebra Statistics Mathematics
889	Superkernels 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: users.cecs.anu.edu.au Language: English - Date: 2002-07-04 23:13:03 Operator theory Hilbert space Linear algebra Fourier analysis Reproducing kernel Hilbert space Positive-definite kernel Kernel Support vector machine Multiplier Algebra Mathematics Mathematical analysis
890	Notes 4 Statistical Machine Learning Linear Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Econometrics Estimation theory Least squares Least absolute deviations Linear regression Regularization Elastic net regularization Tikhonov regularization Support vector machine Statistics Regression analysis Mathematical optimization

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