A B C D E F G H I K L M N O P R S T V W X Y
alpha | Class "ksvm" |
alpha,gausspr-method | Class "gausspr" |
alpha,kfa-method | Class "kfa" |
alpha,ksvm-method | Class "ksvm" |
alpha,onlearn-method | Class "onlearn" |
alpha,rvm-method | Class "rvm" |
alphaindex | Class "ksvm" |
alphaindex,gausspr-method | Class "gausspr" |
alphaindex,kfa-method | Class "kfa" |
alphaindex,ksvm-method | Class "ksvm" |
anovadot | Kernel Functions |
anovakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
b | Class "ksvm" |
b,ksvm-method | Class "ksvm" |
b,onlearn-method | Class "onlearn" |
besseldot | Kernel Functions |
besselkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
buffer | Class "onlearn" |
buffer,onlearn-method | Class "onlearn" |
centers | Class "specc" |
centers,specc-method | Class "specc" |
chol.reduce | Incomplete Cholesky decomposition |
coeff | Class "ksvm" |
coeff,ksvm-method | Support Vector Machines |
convergence | Class "ranking" |
convergence,ranking-method | Class "ranking" |
couple | Probabilities Coupling function |
cross | Class "ksvm" |
cross,gausspr-method | Class "gausspr" |
cross,ksvm-method | Class "ksvm" |
cross,rvm-method | Class "rvm" |
diag.residues | Class "inc.chol" |
diag.residues,inc.chol-method | Class "inc.chol" |
dots | Kernel Functions |
dual | Class "ipop" |
dual,ipop-method | Class "ipop" |
edgegraph | Class "ranking" |
edgegraph,ranking-method | Class "ranking" |
eig | Class "kpca" |
eig,kpca-method | Class "kpca" |
error | Class "ksvm" |
error,gausspr-method | Class "gausspr" |
error,ksvm-method | Class "ksvm" |
error,rvm-method | Class "rvm" |
fit | Class "ksvm" |
fit,gausspr-method | Class "gausspr" |
fit,ksvm-method | Class "ksvm" |
fit,onlearn-method | Class "onlearn" |
fit,rvm-method | Class "rvm" |
gausspr | Gaussian processes for regression and classification |
gausspr,formula-method | Gaussian processes for regression and classification |
gausspr,matrix-method | Gaussian processes for regression and classification |
gausspr,vector-method | Gaussian processes for regression and classification |
gausspr-class | Class "gausspr" |
how | Class "ipop" |
how,ipop-method | Class "ipop" |
inc.chol-class | Class "inc.chol" |
income | Income Data |
inlearn | Onlearn object initialization |
inlearn,numeric-method | Onlearn object initialization |
ipop | Quadratic Programming Solver |
ipop,ANY,matrix-method | Quadratic Programming Solver |
ipop-class | Class "ipop" |
kcall | Class "ksvm" |
kcall,gausspr-method | Class "gausspr" |
kcall,kfa-method | Class "kfa" |
kcall,kpca-method | Class "kpca" |
kcall,ksvm-method | Class "ksvm" |
kcall,rvm-method | Class "rvm" |
kcca | Kernel Canonical Correlation Analysis |
kcca,matrix-method | Kernel Canonical Correlation Analysis |
kcca-class | Class "kcca" |
kcor | Class "kcca" |
kcor,kcca-method | Class "kcca" |
kernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
kernelf | Class "ksvm" |
kernelf,gausspr-method | Class "gausspr" |
kernelf,kfa-method | Class "kfa" |
kernelf,kpca-method | Class "kpca" |
kernelf,ksvm-method | Class "ksvm" |
kernelf,onlearn-method | Class "onlearn" |
kernelf,rvm-method | Class "rvm" |
kernelf,specc-method | Class "specc" |
kernelFast | Kernel Matrix functions |
kernelFast,anovakernel,matrix-method | Kernel Matrix functions |
kernelFast,besselkernel,matrix-method | Kernel Matrix functions |
kernelFast,kernel-method | Kernel Matrix functions |
kernelFast,laplacekernel,matrix-method | Kernel Matrix functions |
kernelFast,polykernel,matrix-method | Kernel Matrix functions |
kernelFast,rbfkernel,matrix-method | Kernel Matrix functions |
kernelFast,splinekernel,matrix-method | Kernel Matrix functions |
kernelFast,tanhkernel,matrix-method | Kernel Matrix functions |
kernelFast,vanillakernel,matrix-method | Kernel Matrix functions |
kernelMatrix | Kernel Matrix functions |
kernelMatrix,anovakernel,matrix-method | Kernel Matrix functions |
kernelMatrix,besselkernel,matrix-method | Kernel Matrix functions |
kernelMatrix,kernel-method | Kernel Matrix functions |
kernelMatrix,laplacekernel,matrix-method | Kernel Matrix functions |
kernelMatrix,polykernel,matrix-method | Kernel Matrix functions |
kernelMatrix,rbfkernel,matrix-method | Kernel Matrix functions |
kernelMatrix,splinekernel,matrix-method | Kernel Matrix functions |
kernelMatrix,tanhkernel,matrix-method | Kernel Matrix functions |
kernelMatrix,vanillakernel,matrix-method | Kernel Matrix functions |
kernelMult | Kernel Matrix functions |
kernelMult,anovakernel,matrix-method | Kernel Matrix functions |
kernelMult,besselkernel,matrix-method | Kernel Matrix functions |
kernelMult,kernel-method | Kernel Matrix functions |
kernelMult,laplacekernel,matrix-method | Kernel Matrix functions |
kernelMult,polykernel,matrix-method | Kernel Matrix functions |
kernelMult,rbfkernel,matrix-method | Kernel Matrix functions |
kernelMult,splinekernel,matrix-method | Kernel Matrix functions |
kernelMult,tanhkernel,matrix-method | Kernel Matrix functions |
kernelMult,vanillakernel,matrix-method | Kernel Matrix functions |
kernelPol | Kernel Matrix functions |
kernelPol,anovakernel,matrix-method | Kernel Matrix functions |
kernelPol,besselkernel,matrix-method | Kernel Matrix functions |
kernelPol,kernel-method | Kernel Matrix functions |
kernelPol,laplacekernel,matrix-method | Kernel Matrix functions |
kernelPol,polykernel,matrix-method | Kernel Matrix functions |
kernelPol,rbfkernel,matrix-method | Kernel Matrix functions |
kernelPol,splinekernel,matrix-method | Kernel Matrix functions |
kernelPol,tanhkernel,matrix-method | Kernel Matrix functions |
kernelPol,vanillakernel,matrix-method | Kernel Matrix functions |
kfa | Kernel Feature Analysis |
kfa,formula-method | Kernel Feature Analysis |
kfa,matrix-method | Kernel Feature Analysis |
kfa-class | Class "kfa" |
kpar | Kernel Functions |
kpar,gausspr-method | Class "gausspr" |
kpar,kernel-method | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
kpar,ksvm-method | Class "ksvm" |
kpar,onlearn-method | Class "onlearn" |
kpar,rvm-method | Class "rvm" |
kpca | Kernel Principal Components Analysis |
kpca,formula-method | Kernel Principal Components Analysis |
kpca,matrix-method | Kernel Principal Components Analysis |
kpca-class | Class "kpca" |
ksvm | Support Vector Machines |
ksvm,formula-method | Support Vector Machines |
ksvm,matrix-method | Support Vector Machines |
ksvm,vector-method | Support Vector Machines |
ksvm-class | Class "ksvm" |
laplacedot | Kernel Functions |
laplacekernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
lev | Class "ksvm" |
lev,gausspr-method | Class "gausspr" |
lev,ksvm-method | Class "ksvm" |
lev,rvm-method | Class "rvm" |
maxresiduals | Class "inc.chol" |
maxresiduals,inc.chol-method | Class "inc.chol" |
mlike | Class "rvm" |
mlike,rvm-method | Class "rvm" |
musk | Musk data set |
nvar | Class "rvm" |
nvar,rvm-method | Class "rvm" |
onlearn | Kernel Online Learning algorithms |
onlearn,onlearn-method | Kernel Online Learning algorithms |
onlearn-class | Class "onlearn" |
pcv | Class "kpca" |
pcv,kpca-method | Class "kpca" |
pivots | Class "inc.chol" |
pivots,inc.chol-method | Class "inc.chol" |
plot,ksvm,missing-method | plot method for support vector object |
plot,ksvm-method | plot method for support vector object |
plot.ksvm | plot method for support vector object |
polydot | Kernel Functions |
polykernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
predict,gausspr-method | Gaussian processes for regression and classification |
predict,kfa-method | Class "kfa" |
predict,kpca-method | Kernel Principal Components Analysis |
predict,ksvm-method | predict method for support vector object |
predict,onlearn-method | Class "onlearn" |
predict,rvm-method | Relevance Vector Machine |
predict.ksvm | predict method for support vector object |
primal | Class "ipop" |
primal,ipop-method | Class "ipop" |
prior | Class "ksvm" |
prior,ksvm-method | Class "ksvm" |
prob.model | Class "ksvm" |
prob.model,ksvm-method | Class "ksvm" |
promotergene | E. coli promoter gene sequences (DNA) |
ranking | Ranking |
ranking,matrix-method | Ranking |
ranking-class | Class "ranking" |
rbfdot | Kernel Functions |
rbfkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
rho | Class "onlearn" |
rho,onlearn-method | Class "onlearn" |
rotated | Class "kpca" |
rotated,kpca-method | Class "kpca" |
RVindex | Class "rvm" |
RVindex,rvm-method | Class "rvm" |
rvm | Relevance Vector Machine |
rvm,formula-method | Relevance Vector Machine |
rvm,matrix-method | Relevance Vector Machine |
rvm,vector-method | Relevance Vector Machine |
rvm-class | Class "rvm" |
rvm-methods | Relevance Vector Machine |
scaling | Class "ksvm" |
scaling,ksvm-method | Class "ksvm" |
show | Class "ksvm" |
show,gausspr-method | Gaussian processes for regression and classification |
show,kernel-method | Kernel Functions |
show,kfa-method | Kernel Feature Analysis |
show,ksvm-method | Support Vector Machines |
show,onlearn-method | Class "onlearn" |
show,ranking-method | Class "ranking" |
show,rvm-method | Relevance Vector Machine |
show,specc-method | Spectral Clustering |
sigest | Hyperparameter estimation for the Gaussian Radial Basis kernel |
sigest,formula-method | Hyperparameter estimation for the Gaussian Radial Basis kernel |
sigest,matrix-method | Hyperparameter estimation for the Gaussian Radial Basis kernel |
size | Class "specc" |
size,specc-method | Class "specc" |
spam | Spam E-mail Database |
specc | Spectral Clustering |
specc,formula-method | Spectral Clustering |
specc,matrix-method | Spectral Clustering |
specc-class | Class "specc" |
spirals | Spirals Dataset |
splinedot | Kernel Functions |
splinekernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
SVindex | Class "ksvm" |
SVindex,ksvm-method | Class "ksvm" |
tanhdot | Kernel Functions |
tanhkernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
ticdata | The Insurance Company Data |
type | Class "ksvm" |
type,gausspr-method | Class "gausspr" |
type,ksvm-method | Class "ksvm" |
type,onlearn-method | Class "onlearn" |
type,rvm-method | Class "rvm" |
vanilladot | Kernel Functions |
vanillakernel-class | Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
withinss | Class "specc" |
withinss,specc-method | Class "specc" |
xcoef | Class "kcca" |
xcoef,kcca-method | Class "kcca" |
xmatrix | Class "ksvm" |
xmatrix,gausspr-method | Class "gausspr" |
xmatrix,kfa-method | Class "kfa" |
xmatrix,kpca-method | Class "kpca" |
xmatrix,ksvm-method | Class "ksvm" |
xmatrix,onlearn-method | Class "onlearn" |
xmatrix,rvm-method | Class "rvm" |
xvar | Class "kcca" |
xvar,kcca-method | Class "kcca" |
ycoef | Class "kcca" |
ycoef,kcca-method | Class "kcca" |
ymatrix | Class "ksvm" |
ymatrix,gausspr-method | Class "gausspr" |
ymatrix,ksvm-method | Class "ksvm" |
ymatrix,rvm-method | Class "rvm" |
yvar | Class "kcca" |
yvar,kcca-method | Class "kcca" |