Search Results for "artificial intelligence projects in java" - Page 2

Showing 119 open source projects for "artificial intelligence projects in java"

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  • 1
    JCLEC
    JCLEC is a general purpose evolutionary computation framework developed in Java. Some of its mains features are: multilevel architecture, highly reusable and integrable with other systems, easy to use and a lot of implemented algorithms and operation
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  • 2
    Flamingo Project

    Flamingo Project

    Workflow Designer, Hive Editor, Pig Editor, File System Browser

    Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce.
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  • 3
    EASEA
    EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
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  • 4

    ontocomp

    OntoComP is a Protégé 4 plug-in for completing OWL ontologies

    OntoComP is a Protégé 4 plug-in for completing OWL ontologies. It enables the user to check whether an OWL ontology contains "all relevant information" about the application domain, and extends the ontology appropriately if this is not the case. It achieves this by asking the user questions of the form "are instances of classes C1 and C2 also instances of class C3?". If the user confirms such a question, then a new axiom of the application domain that does not follow from the ontology has...
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    Rent Manager Software

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  • 5
    Weka4OC GUI for Overlapping clustering

    Weka4OC GUI for Overlapping clustering

    Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA

    This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups.
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  • 6

    ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.
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  • 7
    Jenes - Genetic Algorithms for Java
    An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.
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  • 8
    Java Combinatorial Optimization Platform
    Java Combinatorial Optimization Platform is used to solve combinatorial problems using common interface, providing means to easily add new algorithms and problems and to benchmark them.
    Downloads: 3 This Week
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  • 9
    FJSP Software

    FJSP Software

    A Software for Flexible Job Shop Scheduling

    Flexible job shop scheduling problem (FJSP) is very important in many fields such as production management, resource allocation and combinatorial optimization. In the real manufacturing systems, each operation could be processed on more than one machine and each machine can also process several operations. This feature is known as flexibility. You can define your problem in this software and get an optimal solution as a Gantt Chart. This software is based on my M.Sc. thesis of Shahed...
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    Total Network Visibility for Network Engineers and IT Managers

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  • 10

    Robotypo

    Robotypo Web app hosts battles between robots - simple Java programs.

    Robotypo is a Web app which hosts battles between robots - simple Java programs. This project is the Eclipse project archive of RobotypoCreator, which is for creating robots on Robotypo: http://robotypo.appspot.com
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  • 11
    SEAGE
    Search Agents - a framework for collaboration of meta-heuristic agents
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  • 12

    Exact Subgraph Matching Algorithm

    Exact Subgraph Matching Algorithm for Dependency Graphs

    ...Computational Intelligence, 2013.
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  • 13
    Genetic Algorithms Library (in Java)

    Genetic Algorithms Library (in Java)

    An API for Java developers who need Genetic Algorithms

    This API is intended to help developers use genetic algorithms in their own java applications. GeneticLibrary.zip contains the netbeans project of the API itself. GeneticTrial.zip contains another netbeans project which is an example explaining how to use the API. docs.zip is the documentation of the API. Please take a look there, it is really helpful. I have only two request from who will use this API; USE, UPDATE AND MODIFY IT FREELY JUST NOTE THE ORIGINAL AUTHOR
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  • 14
    BayesianCortex

    BayesianCortex

    simple algorithm for a realtime interactive visual cortex for painting

    A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be...
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  • 15
    NaruGo is game AI project. Current targets are GO board game and Texas Holdem poker. It investigates Genetic programming to build game AI logic. Also EA/GP simulations for TSP, Graph layout and Prisoners Dilemma problem.
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  • 16

    HeuriStitch

    An heuristic image stitcher

    An heuristic image stitcher made to test Genetic and PSO based algorithms
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  • 17

    EGA

    A novel and effictive GA algorithm to solve optimization problem

    Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...
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  • 18
    This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the...
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  • 19
    GeneThello (read jə-ˈne-ˈthe-lō), is an acronym for genetic othello, an othello (reversi) playing program which based on Genetic Algorithm (GA). In principle GeneThello consist of an othello program and a genetic algorithm system.
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  • 20
    An information extraction library implementing modern algorithms for the extraction of named entities from text.
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  • 21
    MAPONTO is an interactive tool for discovering semantic mappings between database schemas and ontologies as well as between different database schemas. The tool analyzes semantics in the input schemas and ontologies for generating semantic mappings.
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  • 22
    breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.
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  • 23
    Awakener aims to provide a Java library for solving practical, real world optimisation problems by means of genetic algorithms (turnkey algorithms for >= 90% of industry problems). Awakener extends Sleepwalker with specific algorithms.
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  • 24
    X-GAT
    X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.
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  • 25

    EZvolve Foundation Classes

    Data types and utility classes for use with evolutionary algorithms.

    EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors.
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