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Support vector machine
Results: 2011

#	Item
401	A KERNEL FOR TIME SERIES BASED ON GLOBAL ALIGNMENTS Marco Cuturi1 , Jean-Philippe Vert2 , Øystein Birkenes3 , Tomoko Matsui1 1 Institute of Statistical Mathematics Tokyo, Japan Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English - Date: 2011-05-12 22:47:34 Support vector machine Kernel methods Gaussian function Linux kernel Kernel Dynamic time warping Kernel density estimation Multivariate kernel density estimation Statistics Statistical classification Non-parametric statistics
402	Journal of Machine Learning Research–1619 Submitted 3/05; Published 9/05 Fast Kernel Classifiers with Online and Active Learning Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2005-09-27 11:30:43 Statistical classification Support vector machines Sequential minimal optimization Perceptron Kernel methods Vector space Linear classifier Kernel Active learning Machine learning Statistics Algebra
403	Journal of Machine Learning Research2296 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: jmlr.csail.mit.edu Language: English - Date: 2011-07-11 12:48:17 Support vector machines Least squares support vector machine Machine learning Statistics Statistical classification
404	Image Classification using Super-Vector Coding of Local Image Descriptors Xi Zhou† , Kai Yu‡ , Tong Zhang∗ , and Thomas S. Huang† † Dept. of ECE, University of Illinois at Urbana-Champaign, Illinois Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-22 01:22:06 Function Vector space Support vector machine Representation theory Algebra Mathematics Vectors
405	VISI561_source.nohead.pdf Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2013-11-07 07:12:56 Statistical theory Structured SVM Support vector machine Function Supervised learning Linear classifier Loss function Statistics Statistical classification Machine learning
406	An Instance Selection Approach to Multiple Instance Learning Zhouyu Fu∗ 1 and Antonio Robles-Kelly2,3 1 Gippsland School of IT, Monash University, Churchill, VIC 3842, Australia 2 National ICT Australia †, Locked Bag Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-04-01 18:15:07 Artificial intelligence Support vector machine Multiple-instance learning Multiclass classification Pruning Supervised learning Pattern recognition Boosting methods for object categorization Machine learning Statistics Statistical classification
407	Automated, Highly-Accurate, Bug Assignment Using Machine Learning and Tossing Graphs Pamela Bhattacharyaa,∗, Iulian Neamtiua , Christian R. Sheltona a Department of Computer Science and Engineering, University of Cali Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2012-05-02 18:52:37 Statistical classification Software bug Bug tracking system Naive Bayes classifier Supervised learning Support vector machine Document classification C4.5 algorithm K-nearest neighbor algorithm Statistics Machine learning Artificial intelligence
408	Visual saliency estimation by integrating features using multiple kernel learning Yasin Kavak, Erkut Erdem, and Aykut Erdem arXiv:1307.5693v1 [cs.CV] 22 Jul 2013 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-07-22 20:31:30 Neuropsychology Computer vision Image processing Attention Cognitive neuroscience Salience Feature integration theory Support vector machine Supervised learning Neuroscience Cognitive science Artificial intelligence
409	Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Stochastic optimization Statistical classification CMA-ES Computational statistics Cross-validation Support vector machine Mathematical optimization Supervised learning Stability Statistics Machine learning Evolutionary algorithms
410	Transport Research Arena 2014, Paris Analysis and classification of Powered Two Wheelers riding pattern Ferhat Attala, Abderrahmane bderrahmane Boubezoula, Latifa Oukhelloub and Stéphane Espiéc a Add to Reading List Source URL: tra2014.traconference.eu Language: English* - Date: 2015-01-12 11:17:14 Learning Statistical classification Parts of speech Classifier Support vector machine Supervised learning Pattern recognition Random subspace method Boosting methods for object categorization Machine learning Statistics Artificial intelligence

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