bioinformatics.oxfordjournals.org/content/26/15/1841.long‎SimilarJun 6, 2010 . Applying the Naïve Bayes classifier with kernel density estimation to the . are

www.kernel-machines.org/publications/RujMar00‎CachedIn the so-called version space view of classification, the SVM solution of a

www-personal.umich.edu/~stannum/pubs/l2kernel_ssp07.pdf‎CachedSimilara classifier, i.e. a function taking X as input and outputting a label, such that .

weka.wikispaces.com/How+do+I+add+a+new+classifier,+filter,+kernel,+etc‎CachedSimilarHow do I add a new classifier, filter, kernel, etc.? As of WEKA 3.4.4, all the

xlink.rsc.org/?doi=10.1039/C4AY00836GKernel approaches that can effectively solve nonlinear problems using implicit

www.cse.msu.edu/~rongjin/publications/aaai-online-kernel.pdf‎Cachedby training a separate classifier for each kernel and choos- ing the best kernel .

image.diku.dk/igel/paper/RAoKC.pdf‎CachedResilient Approximation of Kernel Classifiers. Thorsten Suttorp and Christian Igel.

The results for both single kernel classifiers, kernel combination methods and

www.tnw.tudelft.nl/fileadmin/. de. /paclik2000.pdf‎CachedRoad sign classification using Laplace kernel classifier q. P. Pacl┤їk a,b,c,*, J.

research.microsoft.com/en-us/um/people/. off/. /zhangijcv06.pdf‎CachedSimilarclassifier with kernels based on two effective measures for comparing

www.amazon.com/Learning-Kernel-Classifiers. /dp/026208306X‎CachedSimilarLinear classifiers in kernel spaces have emerged as a major topic within the field

citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.9581‎CachedSimilarIn this paper, it is shown that much better generalization can be obtained by

publications.idiap.ch/index.php/publications/show/340‎CachedThe algorithm combines the principle of margin maximization and a kernel trick,

pixel.ecn.purdue.edu:8080/purpl/publications/level2/. /elioacuna.pdf‎Cachedcomputation time of a nonparametric classifier is longer than the required for a

www.researchgate.net/. /220932489_Gaussian_ERP_Kernel_Classifier_for_ Pulse_Waveforms_ClassificationThe proposed Gaussian ERP kernel classifier is evaluated on a dataset which

ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6160005‎SimilarKernel trick is applied to construct multiple nonlinear classifiers for different fault

scikit-learn.org/stable/modules/svm.html‎CachedSimilarVersatile: different Kernel functions can be specified for the decision function. . ..

rduin.nl/papers/mcs_07_kernelcomb.pdf‎CachedKernel Combination Versus Classifier Combination. Wan-Jui Lee1, Sergey

mitpress.mit.edu/books/learning-kernel-classifiers‎CachedSimilarLinear classifiers in kernel spaces have emerged as a major topic within the field

www.uml-diagrams.org/uml-core.html‎CachedSimilarUML specification has the Kernel package which provides the core modeling

arxiv.org/pdf/0912.1007‎CachedSimilarDesigning Kernel Scheme for Classifiers Fusion. Mehdi Salkhordeh Haghighi

papers.nips.cc/. /1985-discriminative-direction-for-kernel-classifiers.pdf‎Cachedto a classical problem of training a classifier for labeling new examples while

www.ncbi.nlm.nih.gov/pubmed/17131680IEEE Trans Neural Netw. 2006 Nov;17(6):1652-6. Kernel classifier construction

https://er2004.cse.ust.hk/~jamesk/papers/tnn09b.pdf‎CachedBuilding Sparse Multiple-Kernel SVM Classifiers. Mingqing Hu, Yiqiang Chen,

aaaipress.org/Papers/ICML/2003/ICML03-048.pdf‎Cachednative GMM classifier with those of genera- tive GMM classifiers, and of kernel

www.cs.uoi.gr/~arly/full/conferences/C48.pdf‎CachedSimilarreliability methodology with sparse kernel classifiers, specifically the Sup- . of a

www.r-ef.com/pdf/lmc.pdf‎CachedSmola, Bartlett, Schцolkopf, and Schuurmans Advances in Large Margin classi¬

www.mathworks.com/help/stats/svmtrain.html‎CachedSimilarKernel function svmtrain uses to map the training data into kernel space. The

stats.stackexchange.com/. /regarding-kernel-based-naive-bayesian-classifier‎CachedSimilarJun 28, 2012 . as far as I know, a kernel based NB is just a Naive Bayes which uses kernels to .

eprints.pascal-network.org/archive/00004757/01/1681.pdf?origin. ‎CachedPrincipled Learning of Pre-processing for Kernel Classifiers. Peter Vincent

ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1699267This paper presents a new approach for constructing sparse kernel classifier with

link.springer.com/chapter/10.1007%2F11890881_18‎SimilarWe present an approach to build a sparse kernel classifier by adding constraints

en.wikipedia.org/wiki/Support_vector_machine‎CachedSimilarIn this way, the sum of kernels above can be used to measure the relative . .

www.cs.utah.edu/~piyush/teaching/15-9-slides.pdf‎CachedSimilarSep 15, 2011 . Kernels: Make linear models work in nonlinear settings. (CS5350/6350) . .

www.sciencedirect.com/science/article/pii/S0888613X08001400‎SimilarBesides, tree-augmented naive Bayes, k-dependence Bayesian classifier and

cs.brown.edu/courses/cs195-5/fall2009/docs/lecture_10-27.pdf‎CachedSimilarOutline. Introduction. Linear and nonlinear classifiers. Kernels and classifiers.

acberg.com/papers/mbm08cvpr.pdf‎CachedSimilarshow that one can build histogram intersection kernel SVMs. (IKSVMs) with

www.ml.inf.ethz.ch/publications/roth.dagm01.pdf‎Cachedtual and numerical problems of standard multi-class kernel classifiers. 1

www.robots.ox.ac.uk/~az/lectures/ml/lect3.pdf‎CachedSimilarPrimal and dual forms. • Linear separability revisted. • Feature maps. • Kernels for

weka.sourceforge.net/doc.dev/weka/classifiers/functions/SMO.html‎CachedSimilarImprovements to Platt's SMO Algorithm for SVM Classifier Design. Neural

dl.acm.org/ft_gateway.cfm?id=944931&type=pdfusing a kernel-based linear or nonlinear classifier (Vapnik, 2000, Cherkassky

ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/03-02.ps‎CachedSimilara nonlinear kernel support vector machine (SVM) classifier. The result- . kernel

cbio.ensmp.fr/~jvert/svn/bibli/local/Steinwart2005Consistency.pdf‎CachedConsistency of Support Vector Machines and. Other Regularized Kernel

jmlr.org/papers/volume6/bordes05a/bordes05a.pdf‎CachedJournal of Machine Learning Research 6 (2005) 1579–1619. Submitted 3/05;

www.svcl.ucsd.edu/projects/klk/‎CachedSimilarProbabilistic Kernel Classifiers. In statistical learning, there are two basic

www.cs.ubc.ca/~lowe/papers/neural95/neural.html‎CachedSimilarity Metric Learning for a Variable-Kernel Classifier. David G. Lowe

ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5597048‎SimilarA learning method for RBF kernel classifiers is derived based on the formulation.

www.uniroma2.it/didattica/BdDD/. /jaakkola98exploiting-haussler.pdf‎CachedSimilarclassifier should combine these two complementary approaches. In this paper,

www.robots.ox.ac.uk/~vgg/sorg/huller3.pdf‎CachedSimilarJournal of Machine Learning Research (2005) to appear. Submitted 3/05;

www.uv.es/~gcamps/papers/Gomez-Sanchis08_EL.pdf‎Cachedof postharvest damages in citrus packing houses. The method is based on the

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