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Kernel methods
Results: 264

#	Item
231	Current Topics in Medicinal Chemistry, 2008, 8, [removed]Weka Machine Learning for Predicting the Phospholipidosis Inducing Potential Add to Reading List Source URL: www.ivanciuc.org Language: English - Date: 2009-01-18 01:28:08 Cheminformatics Computational chemistry Medicinal chemistry Pharmacology Immunology Support vector machine Quantitative structure–activity relationship Kernel methods Molecule mining Pharmaceutical sciences Statistics Machine learning
232	Master’s Thesis Formal Verification of Linux Device Drivers Thomas Witkowski May 2007 Add to Reading List Source URL: www.cprover.org Language: English - Date: 2008-12-31 05:38:12 Formal methods Linux Device drivers Monolithic kernels Kernel Device driver Model checking Formal verification Device driver synthesis and verification Software Computing Computer architecture
233	Kernel Methods for General Pattern Analysis Nello Cristianini University of California, Davis [removed] Add to Reading List Source URL: www.kernel-methods.net Language: English - Date: 2008-03-17 13:45:12 Geostatistics Kernel methods Machine learning Support vector machine Nello Cristianini Kernel Principal component analysis Linear discriminant analysis Linux kernel Statistics Statistical classification Multivariate statistics
234	Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5 Evgeniy Gabrilovich [removed] Shaul Markovitch [removed] Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2004-05-05 03:44:42 Model selection Data mining Document classification Knowledge representation Support vector machine Cross-validation Linear classifier Feature selection Kernel methods Statistics Machine learning Statistical classification
235	New Theoretical Frameworks for Machine Learning Maria-Florina Balcan May 2007 School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-05-09 11:42:20 Supervised learning Semi-supervised learning Active learning Computational learning theory Algorithm Support vector machine Co-training Kernel methods Perceptron Machine learning Artificial intelligence Learning
236	Kernel Methods for Deep Learning Youngmin Cho and Lawrence K. Saul Department of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive, Mail Code 0404 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2009-10-01 14:38:18 Statistical classification Non-parametric statistics Support vector machine Signal processing Kernel Activation function Linux kernel Trigonometric functions Supervised learning Statistics Machine learning Neural networks
237	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-16 11:26:39 Gaussian function Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel principal component analysis Support vector machine Kernel methods Kernel Statistics Machine learning Non-parametric statistics
238	Fast Methods for Kernel-based Text Analysis Taku Kudo and Yuji Matsumoto Add to Reading List Source URL: chasen.org Language: English - Date: 2003-05-20 00:05:46 Statistical classification Functional analysis Information science Natural language processing String kernel Support vector machine Integral transform Kernel Linux kernel Algebra Mathematics Linear algebra
239	Support Vector Machine[removed] Add to Reading List Source URL: chasen.org Language: English - Date: 2002-01-12 17:35:12 Statistical classification Support vector machines Kernel methods Vector space Least squares support vector machine Ranking SVM Algebra Statistics Mathematics
240	New Theoretical Frameworks for Machine Learning Maria-Florina Balcan CMU-CS–08-153 Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2010-06-11 17:54:20 Computational statistics Semi-supervised learning Supervised learning Kernel methods Stability Cluster analysis Active learning Computational learning theory Co-training Machine learning Statistics Artificial intelligence

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