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Kernel methods
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#	Item
101	D1.2_First_Periodic_Report_definitive Add to Reading List Source URL: simbad-fp7.eu Language: English - Date: 2009-10-26 06:52:05 Learning Statistical classification Formal sciences Supervised learning Kernel methods Fisher kernel Pattern recognition Similarity Statistics Machine learning Artificial intelligence
102	R E´ S U M E´ 1 Jean-Philippe Vert Mines ParisTech - Institut Curie - INSERM U900 26 rue d’UlmParis, France Add to Reading List Source URL: cbio.ensmp.fr Language: English - Date: 2015-05-07 20:00:22 Applied mathematics Artificial intelligence Computational biology Computational linguistics BMC Bioinformatics Computational learning theory Kernel methods IAPR Supervised learning Machine learning Bioinformatics Science
103	Efficient kriging for real-time spatio-temporal interpolation Balaji Vasan Srinivasan, Ramani Duraiswami, Raghu Murtugudde , , Kriging computational cost • Add to Reading List Source URL: www.climateneeds.umd.edu Language: English - Date: 2014-05-05 14:51:10 Kriging Multivariate interpolation Kernel methods Krige Random field Graphics processing unit Geostatistics Statistics Interpolation
104	Locating Nearby Sources of Air Pollution by Nonparametric Regression of Atmospheric Concentrations on Wind Direction Ronald C. Henry Yu-Shuo Chang Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-09-21 14:37:09 Econometrics Regression analysis Statistical methods Nonparametric regression Gaussian function Kernel density estimation Bootstrapping Confidence interval Kernel smoother Statistics Non-parametric statistics Statistical inference
105	International Journal of Neural Systems c World Scientific Publishing Company EVOLUTIONARY OPTIMIZATION OF SEQUENCE KERNELS FOR DETECTION OF BACTERIAL GENE STARTS Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Statistical classification Operator theory Hilbert space Support vector machine CMA-ES Kernel methods Kernel Markov chain Gaussian function Statistics Machine learning Mathematics
106	Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Jiyan Yang1 ICME, Stanford University, Stanford, CAJIYAN @ STANFORD . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Numerical analysis Diophantine approximation Monte Carlo methods Low-discrepancy sequence Quasi-Monte Carlo method Halton sequence Quasi-Monte Carlo methods in finance Normal distribution Reproducing kernel Hilbert space Mathematical analysis Mathematics Randomness
107	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
108	Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Jiyan Yang1 ICME, Stanford University, Stanford, CAJIYAN @ STANFORD . EDU Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-06-23 23:57:09 Numerical analysis Diophantine approximation Monte Carlo methods Low-discrepancy sequence Quasi-Monte Carlo method Halton sequence Quasi-Monte Carlo methods in finance Normal distribution Reproducing kernel Hilbert space Mathematical analysis Mathematics Randomness
109	KERNEL METHODS MATCH DEEP NEURAL NETWORKS ON TIMIT Po-Sen Huang† , Haim Avron‡ , Tara N. Sainath‡ , Vikas Sindhwani‡ , Bhuvana Ramabhadran‡ † Department of Electrical and Computer Engineering, University of I Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2014-03-11 17:55:13 Support vector machine Kernel trick Linux kernel Kernel methods Gaussian function Kernel Kernel adaptive filter Book:Machine Learning - The Complete Guide Statistics Statistical classification Machine learning
110	An Implementation of Interior-Point Methods Based on Kernel Functions for Linear Optimization M. El Ghami† and T. Steihaug† † Department of Informatics, University of Bergen Add to Reading List Source URL: www.nik.no Language: English - Date: 2009-10-12 11:32:08 Mathematics Functions and mappings Function

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