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Kernel methods
Results: 264

#	Item
241	Sparse methods for machine learning Theory and algorithms Francis Bach Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2010-07-05 15:25:38 Regularization Supervised learning Kernel methods Lasso Feature selection Sparse matrix Statistics Machine learning Artificial intelligence
242	Kernel methods & sparse methods for computer vision Francis Bach Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2011-07-25 01:47:33 Supervised learning Outlier Anomaly detection Bioinformatics Unsupervised learning Computer vision Image retrieval Cluster analysis Classification in machine learning Statistics Machine learning Statistical classification
243	Scalable machine learning for massive datasets: Fast summation algorithms VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-19 03:12:22 Supervised learning Kernel regression Support vector machine Multivariate kernel density estimation Kernel methods Kernel density estimation Computational statistics Fast multipole method Gaussian function Statistics Non-parametric statistics Machine learning
244	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
245	Scalable machine learning for massive datasets: Fast summation algorithms Vikas Chandrakant Raykar University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-25 22:43:06 Multivariate kernel density estimation Kernel density estimation Gaussian function Fast multipole method Density estimation Support vector machine Kernel methods Machine learning K-nearest neighbor algorithm Statistics Non-parametric statistics Kernel regression
246	Supervised learning for computer vision: Theory and algorithms - Introduction Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 16:24:31 Supervised learning Kernel methods Regularization Vapnik–Chervonenkis theory Stability Machine learning Statistics Artificial intelligence
247	Research Statement Maria-Florina Balcan Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-12-30 21:53:22 Semi-supervised learning Avrim Blum Computational learning theory Supervised learning Cluster analysis Active learning Co-training Algorithm Kernel methods Machine learning Statistics Artificial intelligence
248	Supervised learning for computer vision: Theory and algorithms - Part II Francis Bach1 & Jean-Yves Audibert2,1 1. 2. Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 19:16:28 Support vector machine Kernel methods Binary classification Supervised learning Multiclass classification Regularization Multi-label classification Regression analysis Least squares support vector machine Statistics Machine learning Statistical classification
249	Sparse methods for machine learning Francis Bach Willow project, INRIA - Ecole Normale Sup´erieure Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2010-06-14 19:24:18 Learning Linear algebra Regularization Supervised learning Kernel methods Norm Kernel trick Sparse matrix Statistics Machine learning Artificial intelligence
250	CoreASM: An Extensible ASM Execution Engine Roozbeh Farahbod1 , Vincenzo Gervasi2 , and Uwe Gl¨ Add to Reading List Source URL: stl.sfu.ca Language: English - Date: 2010-04-07 20:21:20 Formal methods Abstract state machines Scheduling Kernel CoreASM Java Linux kernel Computing Software Models of computation

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