Uses of Class
gov.sandia.cognition.algorithm.AnytimeAlgorithmWrapper

Packages that use AnytimeAlgorithmWrapper

Package	Description
gov.sandia.cognition.algorithm	Provides general interfaces and implementations for algorithms.
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.algorithm

Methods in gov.sandia.cognition.algorithm that return AnytimeAlgorithmWrapper

Modifier and Type	Method and Description
AnytimeAlgorithmWrapper<ResultType,InternalAlgorithm>	AnytimeAlgorithmWrapper.clone()

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.clustering

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.clustering

Modifier and Type	Class and Description
class	DirichletProcessClustering Clustering algorithm that wraps Dirichlet Process Mixture Model.

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.regression

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.regression

Modifier and Type	Class and Description
class	AbstractMinimizerBasedParameterCostMinimizer<ResultType extends VectorizableVectorFunction,EvaluatorType extends Evaluator<? super Vector,? extends java.lang.Double>> Partial implementation of ParameterCostMinimizer, based on the algorithms from the minimization package.
class	ParameterDerivativeFreeCostMinimizer Implementation of a class of objects that uses a derivative-free minimization algorithm.
class	ParameterDifferentiableCostMinimizer This class adapts the unconstrained nonlinear minimization algorithms in the "minimization" package to the task of estimating locally optimal (minimum-cost) parameter sets.

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.root

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.algorithm.root

Modifier and Type	Class and Description
class	MinimizerBasedRootFinder A root finder that uses minimization techniques to find the roots (zero-crossings).

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.function.vector

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.learning.function.vector

Modifier and Type	Class and Description
static class	GaussianContextRecognizer.Learner Creates a GaussianContextRecognizer from a Dataset[Vector] using a BatchClusterer

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.statistics.distribution

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.statistics.distribution

Modifier and Type	Class and Description
static class	MixtureOfGaussians.Learner A hard-assignment learner for a MixtureOfGaussians

Uses of AnytimeAlgorithmWrapper in gov.sandia.cognition.statistics.method

Subclasses of AnytimeAlgorithmWrapper in gov.sandia.cognition.statistics.method

Modifier and Type	Class and Description
class	DistributionParameterEstimator<DataType,DistributionType extends ClosedFormDistribution<? extends DataType>> A method of estimating the parameters of a distribution using an arbitrary CostFunction and FunctionMinimizer algorithm.