Uses of Class
fr.lip6.kernel.Kernel

Packages that use Kernel

fr.lip6.classifier
fr.lip6.density
fr.lip6.kernel	Package containing generic kernels on vectors.
fr.lip6.kernel.adaptative
fr.lip6.kernel.extra
fr.lip6.kernel.extra.bag
fr.lip6.kernel.extra.colt
fr.lip6.kernel.typed
fr.lip6.kernel.typed.index

Uses of Kernel in fr.lip6.classifier

Methods in fr.lip6.classifier with parameters of type Kernel

void	SimpleMKL.addKernel(Kernel<T> k)
void	SMOSVM.setKernel(Kernel<T> k)

Constructors in fr.lip6.classifier with parameters of type Kernel

EnhancedSMOSVM(Kernel<T> k)
Constructeur passant le noyau servant à calculer la similarité entre les éléments de l'espace d'entrée.

ParzenClassifier(Kernel<T> kernel)

PegasosSVM(Kernel<T> k)

SMOSVM(Kernel<T> k)
Constructeur passant le noyau servant à calculer la similarité entre les éléments de l'espace d'entrée.

Uses of Kernel in fr.lip6.density

Constructors in fr.lip6.density with parameters of type Kernel

ParzenDensity(Kernel<T> kernel)

SMODensity(Kernel<T> K)
Constructeur par défaut, fournissant le noyau servant à évaluer la similarité entre les élement de l'espace d'entrée.

Uses of Kernel in fr.lip6.kernel

Subclasses of Kernel in fr.lip6.kernel

class	CMKernel<T> Generic kernel with a matrix based cache policy.
class	ThreadedKernel<T> Simple multithreaded implementation over a given Kernel.

Fields in fr.lip6.kernel declared as Kernel

protected Kernel<T>

ThreadedKernel.k

Constructors in fr.lip6.kernel with parameters of type Kernel

CMKernel(Kernel<T> k)
Default constructor

ThreadedKernel(Kernel<T> kernel)
MultiThread the given kernel

Uses of Kernel in fr.lip6.kernel.adaptative

Subclasses of Kernel in fr.lip6.kernel.adaptative

class	ThreadedSumKernel<T> Major kernel computed as a weighted sum of minor kernels : K = w_i * k_i Computation of the kernel matrix is done by running a thread on sub matrices.
class	WeightedSumKernel<T> Major kernel computed as a weighted sum of minor kernels : K = w_i * k_i

Methods in fr.lip6.kernel.adaptative that return types with arguments of type Kernel

java.util.Hashtable<Kernel<T>,java.lang.Double>	WeightedSumKernel.getWeights() get the list of kernels and associated weights.
java.util.Hashtable<Kernel<T>,java.lang.Double>	ThreadedSumKernel.getWeights() get the list of kernels and associated weights.

Methods in fr.lip6.kernel.adaptative with parameters of type Kernel

void	WeightedSumKernel.addKernel(Kernel<T> k) adds a kernel to the sum with weight 1.0
void	ThreadedSumKernel.addKernel(Kernel<T> k) adds a kernel to the sum with weight 1.0
void	WeightedSumKernel.addKernel(Kernel<T> k, double d) adds a kernel to the sum with weight d
void	ThreadedSumKernel.addKernel(Kernel<T> k, double d) adds a kernel to the sum with weight d
double	WeightedSumKernel.getWeight(Kernel<T> k) gets the weights of kernel k
double	ThreadedSumKernel.getWeight(Kernel<T> k) gets the weights of kernel k
void	WeightedSumKernel.removeKernel(Kernel<T> k) removes kernel k from the sum
void	ThreadedSumKernel.removeKernel(Kernel<T> k) removes kernel k from the sum
void	WeightedSumKernel.setWeight(Kernel<T> k, java.lang.Double d) Sets the weight of kernel k
void	ThreadedSumKernel.setWeight(Kernel<T> k, java.lang.Double d) Sets the weight of kernel k

Constructor parameters in fr.lip6.kernel.adaptative with type arguments of type Kernel

ThreadedSumKernel(java.util.Hashtable<Kernel<T>,java.lang.Double> h)
Sets the weights to h.

WeightedSumKernel(java.util.Hashtable<Kernel<T>,java.lang.Double> h)
Sets the weights to h.

Uses of Kernel in fr.lip6.kernel.extra

Subclasses of Kernel in fr.lip6.kernel.extra

class

PowerKernel<T>

Constructors in fr.lip6.kernel.extra with parameters of type Kernel

PowerKernel(Kernel<T> kernel, double e)

Uses of Kernel in fr.lip6.kernel.extra.bag

Subclasses of Kernel in fr.lip6.kernel.extra.bag

class	PowerBagKernel<S,T extends ArrayList<S>>
class	SimpleSubListKernel<S,T extends ArrayList<S>> Kernel on bags of same length.
class	SubListKernel<S,T extends ArrayList<S>> Default kernel on bags : sum all kernel values involving an element from B1 and an element from B2 between specified bounds.
class	SubListMaxKernel<S,T extends ArrayList<S>> max value of kernel between to bags
class	SubListPowerKernel<S,T extends ArrayList<S>>

Constructors in fr.lip6.kernel.extra.bag with parameters of type Kernel

PowerBagKernel(double exp, Kernel<S> kernel)

SimpleSubListKernel(int from, int to, Kernel<S> kernel)

SubListKernel(int from, int to, Kernel<S> kernel)

SubListMaxKernel(int from, int to, Kernel<S> kernel)

SubListPowerKernel(int from, int to, Kernel<S> kernel, double e)

Uses of Kernel in fr.lip6.kernel.extra.colt

Subclasses of Kernel in fr.lip6.kernel.extra.colt

class	GeneralizedSparseDoubleLinear
class	SparseDoubleGaussChi2
class	SparseDoubleLinear
class	SparseGeneralizedSparseDoubleLinear

Uses of Kernel in fr.lip6.kernel.typed

Subclasses of Kernel in fr.lip6.kernel.typed

class	DoubleGaussChi1 Gaussian Kernel on double[] that uses a Chi1 distance.
class	DoubleGaussChi2 Gaussian Kernel on double[] that uses a Chi2 distance.
class	DoubleGaussL2 Gaussian Kernel on double[] that uses a L2 distance.
class	DoubleLinear Linear Kernel on double[].
class	FloatGaussChi2 Gaussian Kernel on double[] that uses a Chi2 distance.
class	GeneralizedDoubleLinear
class	IntGaussChi1 Gaussian Kernel on int[] that uses a Chi1 distance.
class	IntGaussChi2 Gaussian Kernel on int[] that uses a Chi2 distance.
class	IntGaussL2 Gaussian Kernel on int[] that uses a L2 distance.
class	SPDoubleGaussChi2 Gaussian Kernel on double[] that uses a Chi2 distance.

Uses of Kernel in fr.lip6.kernel.typed.index

Subclasses of Kernel in fr.lip6.kernel.typed.index

class	IndexDoubleGaussL2 Kernel on double[] that computes the L2 distance of a specified component j: k(x, y) = (x[j]-y[j])*(x[j]-y[j])
class	IndexDoubleLinear Kernel on double[] that performs the product of a specified component j: k(x,y) = x[j]*y[j]