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| AI::ANN
an artificial neural network simulator |
AI::ANN::Evolver
an evolver for an artificial neural network simulator |
AI::ANN::Neuron
a neuron for an artificial neural network simulator |
| AI::Calibrate
Perl module for producing probabilities from classifier scores |
AI::Categorizer
Automatic Text Categorization |
AI::Categorizer::Category
A named category of documents |
| AI::Categorizer::Collection
Access stored documents |
AI::Categorizer::Collection::DBI
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AI::Categorizer::Collection::Files
One document per file |
| AI::Categorizer::Collection::InMemory
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AI::Categorizer::Collection::SingleFile
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AI::Categorizer::Document
Embodies a document |
| AI::Categorizer::Document::SMART
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AI::Categorizer::Document::Text
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AI::Categorizer::Document::XML
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| AI::Categorizer::Experiment
Coordinate experimental results |
AI::Categorizer::FeatureSelector
Abstract Feature Selection class |
AI::Categorizer::FeatureSelector::CategorySelector
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| AI::Categorizer::FeatureSelector::ChiSquare
ChiSquare Feature Selection class |
AI::Categorizer::FeatureSelector::DocFrequency
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AI::Categorizer::FeatureVector
Features vs. Values |
| AI::Categorizer::Hypothesis
Embodies a set of category assignments |
AI::Categorizer::KnowledgeSet
Encapsulates set of documents |
AI::Categorizer::Learner
Abstract Machine Learner Class |
| AI::Categorizer::Learner::Boolean
Abstract class for boolean categorizers |
AI::Categorizer::Learner::DecisionTree
Decision Tree Learner |
AI::Categorizer::Learner::Guesser
Simple guessing based on class probabilities |
| AI::Categorizer::Learner::KNN
K Nearest Neighbour Algorithm For AI::Categorizer |
AI::Categorizer::Learner::NaiveBayes
Naive Bayes Algorithm For AI::Categorizer |
AI::Categorizer::Learner::Rocchio
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| AI::Categorizer::Learner::SVM
Support Vector Machine Learner |
AI::Categorizer::Learner::Weka
Pass-through wrapper to Weka system |
AI::Categorizer::ObjectSet
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| AI::Categorizer::Storable
Saving and Restoring State |
AI::Categorizer::Util
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AI::CBR
Framework for Case-Based Reasoning |
| AI::CRM114
Wrapper for the statistical data classifier CRM114 |
AI::DecisionTree
Automatically Learns Decision Trees |
AI::DecisionTree::Instance
C-struct wrapper for training instances |
| AI::Evolve::Befunge
practical evolution of Befunge AI programs |
AI::ExpertSystem::Advanced
Expert System with backward, forward and mixed algorithms |
AI::ExpertSystem::Advanced::Dictionary
Array/hash dictionary |
| AI::ExpertSystem::Advanced::KnowledgeDB::Base
Base class for knowledge DBs. |
AI::ExpertSystem::Advanced::KnowledgeDB::Factory
Knowledge DB driver factory |
AI::ExpertSystem::Advanced::KnowledgeDB::YAML
YAML Knowledge DB driver |
| AI::ExpertSystem::Advanced::Viewer::Base
Base class for all views. |
AI::ExpertSystem::Advanced::Viewer::Factory
Viewer factory |
AI::ExpertSystem::Advanced::Viewer::Terminal
Viewer for terminal |
| AI::ExpertSystem::Simple
Expert system shell |
AI::ExpertSystem::Simple::Goal
Utility class for a simple expert system |
AI::ExpertSystem::Simple::Knowledge
Utility class for a simple expert system |
| AI::ExpertSystem::Simple::Rule
A utility class for a simple expert system |
AI::FANN
Fast Artificial Neural Network library |
AI::FreeHAL::Class
Support for creating standard "inside-out" classes |
| AI::FreeHAL::Class
Support for creating standard "inside-out" classes |
AI::FreeHAL::Config
Load and save configuration files in a standard format |
AI::FreeHAL::Config
Load and save configuration files in a standard format |
| AI::FreeHAL::Engine
Engine of FreeHAL, a self-learning conversation simulator which uses semantic nets to organize its knowledge. |
AI::FreeHAL::Engine
Engine of FreeHAL, a self-learning conversation simulator which uses semantic nets to organize its knowledge. |
AI::FreeHAL::Module::Parser
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| AI::FreeHAL::Module::Parser
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AI::FreeHAL::Module::Tagger
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AI::FreeHAL::Module::Tagger
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| AI::FreeHAL::Module::WebAccess
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AI::FreeHAL::Module::WebAccess
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AI::Fuzzy::Axis
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| AI::Fuzzy::Label
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AI::Fuzzy::Set
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AI::FuzzyInference
A module to implement a Fuzzy Inference System. |
| AI::FuzzyInference::Set
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AI::FuzzyLogic
Fuzzy Set Operations and Tools |
AI::FuzzyLogic::MetaSubset
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| AI::FuzzyLogic::Subset
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AI::Gene::Sequence
Base class of mutation methods +gene grammar |
AI::Gene::Simple
Base class of mutation methods |
| AI::General
A general-purpose artificial intelligence |
AI::Genetic
A pure Perl genetic algorithm implementation. |
AI::Genetic::Defaults
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| AI::Genetic::IndBitVector
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AI::Genetic::Individual
Base class for AI::Genetic Individuals. |
AI::Genetic::IndListVector
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| AI::Genetic::IndRangeVector
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AI::Genetic::OpCrossover
A class that implements various crossover operators. |
AI::Genetic::OpMutation
A class that implements various mutation operators. |
| AI::Genetic::OpSelection
A class that implements various selection operators. |
AI::Genetic::Pro
Genetic algorithms for professional purpose. |
AI::Genetic::Pro::Array::Type
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| AI::Genetic::Pro::Chromosome
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AI::Genetic::Pro::Crossover::Distribution
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AI::Genetic::Pro::Crossover::OX
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| AI::Genetic::Pro::Crossover::PMX
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AI::Genetic::Pro::Crossover::Points
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AI::Genetic::Pro::Crossover::PointsAdvanced
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| AI::Genetic::Pro::Crossover::PointsBasic
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AI::Genetic::Pro::Crossover::PointsSimple
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AI::Genetic::Pro::Mutation::Bitvector
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| AI::Genetic::Pro::Mutation::Combination
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AI::Genetic::Pro::Mutation::Listvector
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AI::Genetic::Pro::Mutation::Rangevector
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| AI::Genetic::Pro::Selection::Distribution
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AI::Genetic::Pro::Selection::Roulette
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AI::Genetic::Pro::Selection::RouletteBasic
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| AI::Genetic::Pro::Selection::RouletteDistribution
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AI::LibNeural
Perl extension libneural |
AI::MaxEntropy
Perl extension for learning Maximum Entropy Models |
| AI::MaxEntropy::Model
Perl extension for using Maximum Entropy Models |
AI::MaxEntropy::Util
Utilities for doing experiments with ME learners |
AI::MegaHAL
Perl interface to the MegaHAL natural language conversation simulator. |
| AI::NaiveBayes1
Naive Bayes Classification |
AI::NeuralNet::BackProp
A simple back-prop neural net that uses Delta's and Hebbs' rule. |
AI::NeuralNet::FastSOM
Perl extension for fast Kohonen Maps |
| AI::NeuralNet::FastSOM::Hexa
Perl extension for Kohonen Maps (hexagonal topology) |
AI::NeuralNet::FastSOM::Rect
Perl extension for Kohonen Maps (rectangular topology) |
AI::NeuralNet::FastSOM::Torus
Perl extension for fast Kohonen Maps (torus topology) |
| AI::NeuralNet::FastSOM::Utils
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AI::NeuralNet::Kohonen
Kohonen's Self-organising Feature Maps (SOM) |
AI::NeuralNet::Kohonen::Demo::RGB
Colour-based demo |
| AI::NeuralNet::Kohonen::Input
an input vector for AI::NeuralNet::Kohonen |
AI::NeuralNet::Kohonen::Node
a node for AI::NeuralNet::Kohonen |
AI::NeuralNet::Kohonen::Visual
Tk-based Visualisation |
| AI::NeuralNet::Mesh
An optimized, accurate neural network Mesh. |
AI::NeuralNet::Simple
An easy to use backprop neural net. |
AI::NeuralNet::SOM::Hexa
Perl extension for Kohonen Maps (hexagonal topology) |
| AI::NeuralNet::SOM::Rect
Perl extension for Kohonen Maps (rectangular topology) |
AI::NeuralNet::SOM::Torus
Perl extension for Kohonen Maps (torus topology) |
AI::NeuralNet::SOM::Utils
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| AI::NNEasy
Define, learn and use easy Neural Networks of different types using a portable code in Perl and XS. |
AI::NNEasy::NN
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AI::NNEasy::NN::backprop
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| AI::NNEasy::NN::feedforward
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AI::NNEasy::NN::layer
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AI::NNEasy::NN::node
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| AI::NNEasy::NN::reinforce
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AI::NNFlex
Flexible API for neural networks |
AI::NNFlex::Backprop
a fast, pure perl backprop Neural Net simulator |
| AI::NNFlex::Dataset
support for creating/loading/saving datasets for NNFlex nets |
AI::NNFlex::Feedforward
methods for feedforward neural networks |
AI::NNFlex::Hopfield
a fast, pure perl Hopfield network simulator |
| AI::NNFlex::Mathlib
miscellaneous mathematical functions for the AI::NNFlex NN package |
AI::NNFlex::Reinforce
A very simple experimental NN module |
AI::ParticleSwarmOptimization
Particle Swarm Optimization - OO interface |
| AI::Pathfinding::AStar
A* Pathfinding Algorithm |
AI::Pathfinding::AStar::AStarNode
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AI::Pathfinding::AStar::Rectangle
AStar algorithm on rectangle map |
| AI::Pathfinding::SMAstar
Memory-bounded A* Search |
AI::Pathfinding::SMAstar::AVLQueue
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AI::Pathfinding::SMAstar::Examples::PalUtils
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| AI::Pathfinding::SMAstar::Examples::Phrase
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AI::Pathfinding::SMAstar::Examples::WordObj
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AI::Pathfinding::SMAstar::PairObj
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| AI::Pathfinding::SMAstar::Path
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AI::Pathfinding::SMAstar::PriorityQueue
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AI::Pathfinding::SMAstar::TreeOfQueues
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| AI::Perceptron
example of a node in a neural network. |
AI::POS
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AI::POS
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| AI::Prolog
Perl extension for logic programming. |
AI::Prolog::ChoicePoint
Create a choicepoint object for the Engine. |
AI::Prolog::Engine
Run queries against a Prolog database. |
| AI::Prolog::Engine::Primitives
The code for running aiprolog builtins |
AI::Prolog::KnowledgeBase
The Prolog database. |
AI::Prolog::Parser
A simple Prolog parser. |
| AI::Prolog::Parser::PreProcessor
The AI::Prolog Preprocessor |
AI::Prolog::Parser::PreProcessor::Math
The AI::Prolog math macro |
AI::Prolog::Term
Create Prolog Terms. |
| AI::Prolog::Term::Cut
Perl implementation of the Prolog cut operator. |
AI::Prolog::Term::Number
Perl implementation of Prolog numbers. |
AI::Prolog::TermList
Create lists of Prolog Terms. |
| AI::Prolog::TermList::Clause
Perl implementation of Prolog clauses. |
AI::Prolog::TermList::Primitive
Perl implementation of Prolog primitives. |
AI::Prolog::TermList::Step
Perl implementation of Prolog "step" mechanism. |
| AI::PSO
Module for running the Particle Swarm Optimization algorithm |
AI::Selector
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AI::Selector
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| AI::SemanticNetwork
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AI::SemanticNetwork
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AI::SimulatedAnnealing
optimize a list of numbers according to a specified |
| AI::subclust
A module to implement substractive clustering algorithm. |
AI::Termites
Artificial termites simulation |
AI::Termites::LoginquitasPostulo
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| AI::Termites::NemusNidor
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AI::Termites::PeractioBaro
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AI::Termites::VicinusOccurro
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| AI::Util
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AI::Util
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| Problems, suggestions, or comments to Randy Kobes. | Questions? Check the FAQ. | |
| Enable installations using PAR::WebStart. |