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John Shawe-Taylor
Results: 10

#	Item
1	Image Retrieval with Multinomial Relevance Feedback Dorota Glowacka and John Shawe-Taylor Department of Computer Science, University College London Gower Street, London WC1E 6BT, UK , Add to Reading List Source URL: snowbird.djvuzone.org Language: English - Date: 2012-02-14 07:55:38
2	Learning Theory John Shawe-Taylor Centre for Computational Statistics and Machine Learning University College London Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-09-02 09:54:00
3	Data-driven modelling of police route choice Kira Kowalska1, John Shawe-Taylor†2 and Paul Longley‡3 1 Department of Security and Crime Science, University College London 2 Add to Reading List Source URL: leeds.gisruk.org Language: English* - Date: 2015-04-19 17:14:45 Knowledge Topic model Scientific modelling Latent Dirichlet allocation Choice modelling Model Global Positioning System Neural network Statistical natural language processing Technology Science
4	S.V.N. Vishwanathan Departments of Statistics and Computer Science Purdue University 250 N. University Street W. Lafayette, INUSA Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-08-28 07:26:33 Support vector machine Kernel methods John Shawe-Taylor Conference on Neural Information Processing Systems Journal of Machine Learning Research Boosting Computational learning theory International Conference on Machine Learning Machine learning Artificial intelligence Learning
5	Support Vector and Kernel Machines Nello Cristianini BIOwulf Technologies http://www.support-vector.net/tutorial.html Add to Reading List Source URL: www.support-vector.net Language: English - Date: 2008-03-17 13:46:57 Nello Cristianini Kernel methods Support vector machine Learning Kernel Perceptron Linux kernel Positive-definite kernel John Shawe-Taylor Machine learning Statistics Statistical classification
6	Covering Numbers for Support Vector Machines Ying Guo Peter L. Bartlett John Shawe-Taylor Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 05:31:54 Mathematical analysis Operator theory Positive-definite kernel Summation Entropy Mathematics Hilbert space Information theory
7	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
8	PDF Document Add to Reading List Source URL: www.barcelonagse.eu Language: English - Date: 2014-03-12 06:28:44 Learning Statistical classification Kernel methods Support vector machine Linear classifier Pattern recognition Supervised learning John Shawe-Taylor Unsupervised learning Machine learning Statistics Artificial intelligence
9	Reading list VIKAS C. RAYKAR, University of Maryland, CollegePark [removed] The reading list covers three topics: fast methods, machine learning, and scientific computing. The first list contains a few key papers Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-18 12:04:36 Kernel regression Fast multipole method Density estimation Support vector machine Regression analysis Computational statistics Kernel smoother John Shawe-Taylor Kernel methods Statistics Non-parametric statistics Kernel density estimation
10	Support Vector and Kernel Machines Nello Cristianini Add to Reading List Source URL: www.svms.org Language: English - Date: 2005-10-03 20:44:38 Nello Cristianini Kernel methods Support vector machine Learning Kernel Perceptron Linux kernel Positive-definite kernel John Shawe-Taylor Machine learning Statistics Statistical classification