Uses of Package
gov.sandia.cognition.learning.function.kernel

Packages that use gov.sandia.cognition.learning.function.kernel

Package	Description
gov.sandia.cognition.learning.algorithm.pca	Provides implementations of Principle Components Analysis (PCA).
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.perceptron.kernel
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.
gov.sandia.cognition.learning.function.kernel	Provides kernel functions.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.algorithm.pca

Class and Description
DefaultKernelContainer The DefaultKernelContainer class implements an object that contains a kernel inside.
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.algorithm.perceptron

Class and Description
Kernel The Kernel interface the functionality required from an object that implements a kernel function.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.algorithm.perceptron.kernel

Class and Description
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.algorithm.regression

Class and Description
Kernel The Kernel interface the functionality required from an object that implements a kernel function.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.algorithm.svm

Class and Description
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.function.categorization

Class and Description
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.function.kernel

Class and Description
DefaultKernelContainer The DefaultKernelContainer class implements an object that contains a kernel inside.
DefaultKernelsContainer The DefaultKernelsContainer class implements a container of kernels.
ExponentialKernel The ExponentialKernel class implements a kernel that applies the exponential function to the result of another kernel.
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.
KernelDistanceMetric The KernelDistanceMetric class implements a distance metric that utilizes an underlying Kernel for computing the distance.
LinearKernel The LinearKernel class implements the most basic kernel: it just does the actual inner product between two vectors.
NormalizedKernel The NormalizedKernel class implements an Kernel that returns a normalized value between 0.0 and 1.0 by normalizing the results of a given kernel.
PolynomialKernel The PolynomialKernel class implements a kernel for two given vectors that is the polynomial function: (x dot y + c)^d d is the degree of the polynomial, which must be a positive integer.
ProductKernel The ProductKernel class implements a kernel that takes the product of applying multiple kernels to the same pair of inputs.
RadialBasisKernel The RadialBasisKernel implements the standard radial basis kernel, which is: exp( -||x - y||^2 / (2 * sigma^2) ) where sigma is the parameter that controls the bandwidth of the kernel.
ScalarFunctionKernel The ScalarFunctionKernel class implements a kernel that applies a scalar function two the two inputs to the kernel and then returns their product.
SigmoidKernel The SigmoidKernel class implements a sigmoid kernel based on the hyperbolic tangent.
SumKernel The SumKernel class implements a kernel that adds together the result of applying multiple kernels to the same pair of inputs.
VectorFunctionKernel The VectorFunctionKernel implements a kernel that makes use of a vector function plus a kernel that operates on vectors.
WeightedKernel The WeightedKernel class implements a kernel that takes another kernel, evaluates it, and then the result is rescaled by a given weight.
ZeroKernel The ZeroKernel always returns zero.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.learning.function.scalar

Class and Description
DefaultKernelContainer The DefaultKernelContainer class implements an object that contains a kernel inside.
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.

Classes in gov.sandia.cognition.learning.function.kernel used by gov.sandia.cognition.statistics.bayesian

Class and Description
DefaultKernelContainer The DefaultKernelContainer class implements an object that contains a kernel inside.
Kernel The Kernel interface the functionality required from an object that implements a kernel function.
KernelContainer Defines an object that contains a Kernel.