Least squares support vector machine

Results: 94



#Item
31Regression analysis / Multivariate interpolation / Statistical classification / Variogram / Kriging / Least squares support vector machine / Support vector machine / Linear interpolation / Linear regression / Statistics / Geostatistics / Interpolation

Coal Seam Thickness Prediction based on Least Squares Support Vector Machines and Kriging Method Chen Youkuo School of Resource and Earth Science, Key Laboratory of CBM Resources and Reservoir Formation Process of Minist

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Source URL: www.ejge.com

Language: English - Date: 2015-01-03 20:12:27
32Artificial intelligence / Neural networks / Support vector machines / Linear classifier / Perceptron / Least squares support vector machine / Statistics / Machine learning / Statistical classification

Learning with Recursive Perceptual Representations Oriol Vinyals UC Berkeley Berkeley, CA

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Source URL: daggerfs.com

Language: English
33Support vector machines / Learning / Linear classifier / Perceptron / Stochastic gradient descent / Least squares support vector machine / Shogun / Statistics / Machine learning / Statistical classification

Journal of Machine Learning Research3817 Submitted 4/13; Revised 9/13; PublishedBudgetedSVM: A Toolbox for Scalable SVM Approximations Nemanja Djuric

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Source URL: astro.temple.edu

Language: English - Date: 2014-01-24 01:52:55
34Estimation theory / Statistical inference / Normal distribution / Mixture model / Hyperparameter / Maximum likelihood / Variational Bayesian methods / Least squares support vector machine / Statistics / Bayesian statistics / Statistical theory

HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT? David J.C. MacKay Cavendish Laboratory, Cambridge, CB3 0HE. United Kingdom.

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Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:30
35Learning / Neural networks / Support vector machines / Kernel methods / Linear classifier / Artificial neuron / Active learning / Least squares support vector machine / Kernel adaptive filter / Machine learning / Statistics / Statistical classification

Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification Zhuang Wang Nemanja Djuric

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Source URL: astro.temple.edu

Language: English - Date: 2013-03-26 23:23:56
36Naive Bayes classifier / Classification rule / Sequence alignment / BLAST / Margin classifier / Random naive Bayes / Least squares support vector machine / Statistics / Statistical classification / Support vector machine

kbcs 2002 Proceedings Template

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Source URL: www.cs.iastate.edu

Language: English - Date: 2005-03-26 18:54:33
37Summability methods / Mathematical analysis / Mathematics / Machine learning / Support vector machine / Regularization / Tikhonov regularization / Least squares support vector machine / Statistics / Statistical classification / Quantum field theory

R EGULARIZED L EAST S QUARES AND S UPPORT V ECTOR M ACHINES Francesca Odone and Lorenzo Rosasco RegML 2014

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Source URL: lcsl.mit.edu

Language: English - Date: 2014-06-30 18:00:14
38Statistical classification / Estimation theory / Probability theory / Variance / Support vector machine / Least squares / Tikhonov regularization / Statistics / Regression analysis / Data analysis

CS 195-5: Machine Learning Problem Set 3 Douglas Lanman [removed] 25 October 2006

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Source URL: mesh.brown.edu

Language: English - Date: 2006-10-23 00:17:58
39Linear algebra / Support vector machine / Kernel methods / Kernel trick / String kernel / Linear classifier / Kernel / Least squares support vector machine / Statistics / Machine learning / Statistical classification

Data Centering in Feature Space Marina Meil˘a Department of Statistics University of Washington Seattle, WA[removed]

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Source URL: www.stat.washington.edu

Language: English - Date: 2003-01-02 17:37:31
40Root-mean-square deviation / Economic model / Mathematical model / Linear regression / Support vector machine / Multivariate adaptive regression splines / Least squares / Statistics / Regression analysis / Least squares support vector machine

Enhancing Comparative Model Analysis using Persistent Homology Bastian Rieck, Student Member, IEEE, and Heike Leitte, Member, IEEE Abstract—Mathematical models are widely used to replicate natural phenomena. They repre

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Source URL: predictive-workshop.github.io

Language: English - Date: 2014-10-21 11:34:48
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