Search Results for "genetic algorithm java" - Page 2
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Showing 46 open source projects for "genetic algorithm java"
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Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
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DiscriAlign implements a novel algorithm that aligns a set of biological interaction networks.It identifies both functionally conserved and dissimilar regions.
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iScore measures the interestingness of news articles in a limited user environment. It is an online learning algorithm that combines a large set of disparate features to classify documents. To download the source code, please use subversion.
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TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
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Financial reporting cloud-based software.The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
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Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.
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JMiner is a (not yet!) complete data mining and artificial intelligence solution written in Java. Support for neural networks, genetic algorithms/programming, decision trees, clustering, market basket analysis, link analysis, data cleansing, and others.
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Java Randomness Test Suite is a gui application to run randomness tests on random stream resource (file or algorithm). Application can be run in command line. Includes general statistical tests, NIST and DIEHARD tests.
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VKAS - a genetic function finder
An AI program that deploys genetic programming
VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods. When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. If a... -
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Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.
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GeNetDB, contraction of Genetic Network Database, is a bioinformatic platform destined to the study of genetic regulatory networks. It contains in one place the data and the way to study them, providing the user an access to all tools needed for his work
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GAPI (pronunced gappy) is the Genetic Algorithms Programming Interface - a set of Java classes that allow users to easily integrate Genetic Algorithms into their Java programs. See "GAPI specs" in the Feature Requests forum for more info.
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Jeep is a modular, abstract and distributed evolutionnary programming core written in Java, allowing to grow autonomous agents as well a gene pool (as in genetic algorithms).
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A fast, simple method of establishing musical genre of arbitrary compressed audio files calculated by comparisons with training sets. Program currently consists of a java console program. GUI front end, algorithm upgrades to come.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
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R based genetic algorithm for optimization, variable selection and other machine learning and statistical analysis approaches.
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Yet another MAZE! There is going to be maze generation algorithm(s) and pathfinders who use certain algorithms to solve the maze. This project was initially a student team project at Thompson Rivers University(TRU) to demonstrate search algorithms.
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DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
