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"title": "Kernel Quantile Regression.", "topics": [ "coef,kqr-method", "kqr", "kqr,formula-method", "kqr,kernelMatrix-method", "kqr,list-method", "kqr,matrix-method", "kqr,vector-method", "show,kqr-method" ] }, { "page": "kqr-class", "title": "Class \"kqr\"", "topics": [ "alpha,kqr-method", "alphaindex,kqr-method", "b,kqr-method", "cross,kqr-method", "error,kqr-method", "kcall,kqr-method", "kernelf,kqr-method", "kpar,kqr-method", "kqr-class", "param,kqr-method", "scaling,kqr-method", "xmatrix,kqr-method", "ymatrix,kqr-method" ] }, { "page": "ksvm", "title": "Support Vector Machines", "topics": [ "coef,ksvm-method", "ksvm", "ksvm,formula-method", "ksvm,kernelMatrix-method", "ksvm,list-method", "ksvm,matrix-method", "ksvm,vector-method", "show,ksvm-method" ] }, { "page": "ksvm-class", "title": "Class \"ksvm\"", "topics": [ "alpha,ksvm-method", "alphaindex", "alphaindex,ksvm-method", "b", "b,ksvm-method", "coef,vm-method", "cross,ksvm-method", "error,ksvm-method", "fitted,ksvm-method", "kcall,ksvm-method", "kernelf,ksvm-method", "kpar,ksvm-method", "ksvm-class", "lev,ksvm-method", "nSV", "nSV,ksvm-method", "obj", "obj,ksvm-method", "param", "param,ksvm-method", "prior", "prior,ksvm-method", "prob.model", "prob.model,ksvm-method", "scaling", "scaling,ksvm-method", "show", "SVindex", "SVindex,ksvm-method", "type,ksvm-method", "xmatrix,ksvm-method", "ymatrix,ksvm-method" ] }, { "page": "lssvm", "title": "Least Squares Support Vector Machine", "topics": [ "coef,lssvm-method", "lssvm", "lssvm,formula-method", "lssvm,kernelMatrix-method", "lssvm,list-method", "lssvm,matrix-method", "lssvm,vector-method", "lssvm-methods", "predict,lssvm-method", "show,lssvm-method" ] }, { "page": "lssvm-class", "title": "Class \"lssvm\"", "topics": [ "alpha,lssvm-method", "alphaindex,lssvm-method", "b,lssvm-method", "cross,lssvm-method", "error,lssvm-method", "kcall,lssvm-method", "kernelf,lssvm-method", "kpar,lssvm-method", "lev,lssvm-method", "lssvm-class", "nSV,lssvm-method", "param,lssvm-method", "scaling,lssvm-method", "type,lssvm-method", "xmatrix,lssvm-method", "ymatrix,lssvm-method" ] }, { "page": "musk", "title": "Musk data set", "topics": [ "musk" ] }, { "page": "onlearn", "title": "Kernel Online Learning algorithms", "topics": [ "onlearn", "onlearn,onlearn-method" ] }, { "page": "onlearn-class", "title": "Class \"onlearn\"", "topics": [ "alpha,onlearn-method", "b,onlearn-method", "buffer", "buffer,onlearn-method", "fit,onlearn-method", "kernelf,onlearn-method", "kpar,onlearn-method", "onlearn-class", "predict,onlearn-method", "rho", "rho,onlearn-method", "show,onlearn-method", "type,onlearn-method", "xmatrix,onlearn-method" ] }, { "page": "plot", "title": "plot method for support vector object", "topics": [ "plot,ksvm,missing-method", "plot,ksvm-method", "plot.ksvm" ] }, { "page": "prc-class", "title": "Class \"prc\"", "topics": [ "eig", "eig,prc-method", "kcall,prc-method", "kernelf,prc-method", "pcv", "pcv,prc-method", "prc-class", "xmatrix,prc-method" ] }, { "page": "predict.gausspr", "title": "predict method for Gaussian Processes object", "topics": [ "predict,gausspr-method", "predict.gausspr" ] }, { "page": "predict.kqr", "title": "Predict method for kernel Quantile Regression object", "topics": [ "predict,kqr-method", "predict.kqr" ] }, { "page": "predict.ksvm", "title": "predict method for support vector object", "topics": [ "predict,ksvm-method", "predict.ksvm" ] }, { "page": "promotergene", "title": "E. coli promoter gene sequences (DNA)", "topics": [ "promotergene" ] }, { "page": "ranking", "title": "Ranking", "topics": [ "ranking", "ranking,kernelMatrix-method", "ranking,list-method", "ranking,matrix-method" ] }, { "page": "ranking-class", "title": "Class \"ranking\"", "topics": [ "convergence", "convergence,ranking-method", "edgegraph", "edgegraph,ranking-method", "ranking-class", "show,ranking-method" ] }, { "page": "reuters", "title": "Reuters Text Data", "topics": [ "reuters", "rlabels" ] }, { "page": "rvm", "title": "Relevance Vector Machine", "topics": [ "coef,rvm-method", "predict,rvm-method", "rvm", "rvm,formula-method", "rvm,kernelMatrix-method", "rvm,list-method", "rvm,matrix-method", "rvm,vector-method", "rvm-methods", "show,rvm-method" ] }, { "page": "rvm-class", "title": "Class \"rvm\"", "topics": [ "alpha,rvm-method", "cross,rvm-method", "error,rvm-method", "kcall,rvm-method", "kernelf,rvm-method", "kpar,rvm-method", "lev,rvm-method", "mlike", "mlike,rvm-method", "nvar", "nvar,rvm-method", "RVindex", "RVindex,rvm-method", "rvm-class", "type,rvm-method", "xmatrix,rvm-method", "ymatrix,rvm-method" ] }, { "page": "sigest", "title": "Hyperparameter estimation for the Gaussian Radial Basis kernel", "topics": [ "sigest", "sigest,formula-method", "sigest,matrix-method" ] }, { "page": "spam", "title": "Spam E-mail Database", "topics": [ "spam" ] }, { "page": "specc", "title": "Spectral Clustering", "topics": [ "show,specc-method", "specc", "specc,formula-method", 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