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Kernel trick
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11	Journal of Machine Learning ResearchSubmitted 11/01; PublishedKernel Independent Component Analysis Francis R. Bach Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2004-09-15 05:15:28 Multivariate statistics Signal processing Covariance and correlation Data analysis Singular value decomposition Principal component analysis Independent component analysis Kernel trick Function Algebra Mathematics Statistics
12	Noname manuscript No. (will be inserted by the editor) A survey of the state of the art in learning the kernels M. Ehsan Abbasnejad1 · Dhanesh Ramachandram2 · Rajeswari Mandava3 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Non-parametric statistics Kernel density estimation Kernel trick Fisher kernel Support vector machine Kernel Reproducing kernel Hilbert space Linux kernel Supervised learning Statistics Machine learning Statistical classification
13	Scalable learning through linearithmic time kernel approximation techniques Johan von Tangen Sivertsen March 24, 2014 Abstract Add to Reading List Source URL: www.itu.dk Language: English - Date: 2014-03-28 07:27:25 Linear algebra Statistical classification Abstract algebra Operator theory Functional analysis Kernel trick Kernel Gaussian function Linear classifier Algebra Mathematics Machine learning
14	A Course in Machine Learning Hal Daumé III C ODE Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:40 Neural networks Supervised learning Perceptron Support vector machine Linear classifier Logistic regression K-nearest neighbor algorithm Kernel trick Maximum likelihood Statistics Machine learning Statistical classification
15	12825-Ballings_VandenPoel Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2013-01-08 02:30:54 Statistical classification Kernel trick Kernel Random forest Support vector machine Linux kernel Kernel principal component analysis Kernel adaptive filter Machine learning Statistics Mathematics
16	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
17	Fastfood — Approximating Kernel Expansions in Loglinear Time Quoc Le Tam´ as Sarl´ os Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2013-05-20 21:13:28 Mathematical physics Matrix theory Image processing Stochastic processes Normal distribution Gaussian process Random matrix Matrix Kernel trick Algebra Mathematics Linear algebra
18	Random Features for Large-Scale Kernel Machines Ali Rahimi and Ben Recht Abstract To accelerate the training of kernel machines, we propose to map the input data Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2009-09-01 15:30:02 Algebra of random variables Operator theory Multivariate statistics Fourier analysis Linear algebra Multivariate random variable Positive-definite kernel Kernel trick Gaussian function Mathematical analysis Mathematics Statistics
19	Data Centering in Feature Space Marina Meil˘a Department of Statistics University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2003-01-02 17:37:31 Linear algebra Support vector machine Kernel methods Kernel trick String kernel Linear classifier Kernel Least squares support vector machine Statistics Machine learning Statistical classification
20	S.A. Solla, T.K. Leen and K.-R. Muller ¨ (eds.), 582–588 MIT Press[removed]Support Vector Method for Novelty Detection Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 08:33:45 Signal processing Multivariate statistics Support vector machine Supervised learning Kernel trick Kernel Pattern recognition Mode Gaussian function Statistics Machine learning Statistical classification