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gov.sandia.cognition.algorithm | Provides general interfaces and implementations for algorithms. |
gov.sandia.cognition.algorithm.event | Provides useful components for handling algorithm events. |
gov.sandia.cognition.annotation | Provides commonly useful annotations. |
gov.sandia.cognition.collection | Provides commonly useful collection implementations. |
gov.sandia.cognition.data.convert | Provides utilities for doing data type conversion. |
gov.sandia.cognition.data.convert.number | Provides utilities for doing data type conversion with numbers. |
gov.sandia.cognition.data.convert.vector | Provides utilities for doing data type conversion with vectors. |
gov.sandia.cognition.data.temporal | Provides interfaces for temporal data. |
gov.sandia.cognition.evaluator | Provides interfaces and classes to do with the Evaluator interface. |
gov.sandia.cognition.factory | Provides interfaces and implementations of general factory objects. |
gov.sandia.cognition.framework | Provides the interfaces for the Cognitive Framework. |
gov.sandia.cognition.framework.concurrent | Provides a concurrent implementation of teh Cognitive Framework. |
gov.sandia.cognition.framework.io | Provides file format handlers for the Cognitive Framework. |
gov.sandia.cognition.framework.learning | Provides a mechanism for putting learned objects into the Cognitive Framework. |
gov.sandia.cognition.framework.learning.converter | Provides implementations of CogxelConverter s. |
gov.sandia.cognition.framework.lite | Provides a lightweight implementation of the Cognitive Framework. |
gov.sandia.cognition.io | Provides general classes for assisting with input/output operations. |
gov.sandia.cognition.io.serialization | Provides general classes for object serialization. |
gov.sandia.cognition.learning.algorithm | Provides general interfaces for learning algorithms. |
gov.sandia.cognition.learning.algorithm.annealing | Provides the Simulated Annealing algorithm. |
gov.sandia.cognition.learning.algorithm.baseline | Provides baseline (dummy) learning algorithms. |
gov.sandia.cognition.learning.algorithm.bayes | Provides algorithms for computing Bayesian categorizers. |
gov.sandia.cognition.learning.algorithm.clustering | Provides clustering algorithms. |
gov.sandia.cognition.learning.algorithm.clustering.cluster | Provides implementations of different types of clusters. |
gov.sandia.cognition.learning.algorithm.clustering.divergence | Provides divergence functions for use in clustering. |
gov.sandia.cognition.learning.algorithm.clustering.hierarchy | Provides a hierarchy for clusters. |
gov.sandia.cognition.learning.algorithm.clustering.initializer | Provides implementations of methods for selecting initial clusters. |
gov.sandia.cognition.learning.algorithm.confidence | |
gov.sandia.cognition.learning.algorithm.ensemble | Provides ensmble methods. |
gov.sandia.cognition.learning.algorithm.genetic | Provides a genetic algorithm implementation. |
gov.sandia.cognition.learning.algorithm.genetic.reproducer | Provides reproduction functions for use with a Genetic Algorithm. |
gov.sandia.cognition.learning.algorithm.genetic.selector | Provides selection functions for a Genetic Algorithm. |
gov.sandia.cognition.learning.algorithm.gradient | Provides gradient based learning algorithms. |
gov.sandia.cognition.learning.algorithm.hmm | Provides hidden Markov model (HMM) algorithms. |
gov.sandia.cognition.learning.algorithm.minimization | Provides minimization algorithms. |
gov.sandia.cognition.learning.algorithm.minimization.line | Provides line (scalar) minimization algorithms. |
gov.sandia.cognition.learning.algorithm.minimization.line.interpolator | Provides line (scalar) interpolation/extrapolation algorithms that fit an algebraic function to a (small) collection of data points. |
gov.sandia.cognition.learning.algorithm.nearest | Provides algorithms for Nearest-Neighbor memory-based functions. |
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.root | Provides algorithms for finding the roots, or zero crossings, of scalar functions. |
gov.sandia.cognition.learning.algorithm.svm | Provides implementations of Support Vector Machine (SVM) learning algorithms. |
gov.sandia.cognition.learning.algorithm.tree | Provides decision tree learning algorithms. |
gov.sandia.cognition.learning.data | Provides data set utilities for learning. |
gov.sandia.cognition.learning.data.feature | Provides data feature extractors. |
gov.sandia.cognition.learning.experiment | Provides experiments for validating the performance of learning algorithms. |
gov.sandia.cognition.learning.function | Provides function objects for learning algorithms. |
gov.sandia.cognition.learning.function.categorization | Provides functions that output a discrete set of categories. |
gov.sandia.cognition.learning.function.cost | Provides cost functions. |
gov.sandia.cognition.learning.function.distance | Provides distance functions. |
gov.sandia.cognition.learning.function.kernel | Provides kernel functions. |
gov.sandia.cognition.learning.function.regression | Provides functions that output real numbers from some input data structure. |
gov.sandia.cognition.learning.function.scalar | Provides functions that output real numbers. |
gov.sandia.cognition.learning.function.summarizer | Provides classes for summarizing data. |
gov.sandia.cognition.learning.function.vector | Provides functions that output vectors. |
gov.sandia.cognition.learning.parameter | Provides utility classes for handling learning algorithm parameters. |
gov.sandia.cognition.learning.performance | Provides performance measures. |
gov.sandia.cognition.learning.performance.categorization | Provides performance measures for categorizers. |
gov.sandia.cognition.math | Provides classes for mathematical computation. |
gov.sandia.cognition.math.geometry | Provides classes and interfaces for computational geometry. |
gov.sandia.cognition.math.matrix | Provides interfaces and classes for linear algebra. |
gov.sandia.cognition.math.matrix.decomposition | Provides matrix decompositions. |
gov.sandia.cognition.math.matrix.mtj | Provides a linear algebra package implementation wrapper using the Matrix Toolkits for Java (MTJ) library. |
gov.sandia.cognition.math.matrix.mtj.decomposition | Provides matrix decomposition implementations using the Matrix Toolkits for Java (MTJ) library. |
gov.sandia.cognition.math.signals | Provides mathematical signal processing methods. |
gov.sandia.cognition.statistics | Provides the inheritance hierarchy for general statistical methods and distributions. |
gov.sandia.cognition.statistics.bayesian | Provides algorithms for computing Bayesian estimates of parameters. |
gov.sandia.cognition.statistics.bayesian.conjugate | Provides Bayesian estimation routines based on conjugate prior distribution of parameters of specific conditional distributions. |
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. |
gov.sandia.cognition.statistics.montecarlo | Provides Monte Carlo procedures for numerical integration and sampling. |
gov.sandia.cognition.text | Provides classes for processing text. |
gov.sandia.cognition.text.convert | Provides classes for converting objects to a textual representation. |
gov.sandia.cognition.text.document | Provides representations for textual documents. |
gov.sandia.cognition.text.document.extractor | Provides extractors for pulling textual documents out of files. |
gov.sandia.cognition.text.evaluation | Provides methods for evaluating text processing algorithms. |
gov.sandia.cognition.text.relation | Provides classes for relationships involving text. |
gov.sandia.cognition.text.spelling | Provides classes for spelling. |
gov.sandia.cognition.text.term | Provides term representing text content in documents. |
gov.sandia.cognition.text.term.filter | Provides classes for filtering and transforming terms. |
gov.sandia.cognition.text.term.filter.stem | Provides stemming algorithms for terms. |
gov.sandia.cognition.text.term.relation | Provides relationships between terms. |
gov.sandia.cognition.text.term.vector | Provides methods for handling documents represented as term vectors. |
gov.sandia.cognition.text.term.vector.weighter | Provides term weighting algorithms. |
gov.sandia.cognition.text.term.vector.weighter.global | Provides global term weighting algorithms. |
gov.sandia.cognition.text.term.vector.weighter.local | Provides local term weighting algorithms. |
gov.sandia.cognition.text.term.vector.weighter.normalize | Provides term weight normalization algorithms. |
gov.sandia.cognition.text.token | Provides text tokenization algorithms. |
gov.sandia.cognition.text.topic | Provides topic modeling algorithms. |
gov.sandia.cognition.time | Provides classes for dealing with temporal data. |
gov.sandia.cognition.util | Provides general utility classes. |
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