Showing 45 open source projects for "alpha"

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  • 1
    MultiViL
    MultiViL is a tool for multi-view learning. It supports four classifiers (KNN, Naive-Bayes, Rochio and SVM-Perf), four view combining methods (Majority Voting, Borda Count, Dempster-Shafer theory of evidence and PSO) and provides many analisys tools.
    Downloads: 0 This Week
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  • 2
    This project consists in a set of challenges to recognize images acquired from 3d Lasers.
    Downloads: 0 This Week
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  • 3
    Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
    Downloads: 0 This Week
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  • 4
    A Machine Learning and Data Retrieval Framework
    Downloads: 0 This Week
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  • 5
    Artificial neural network with eigenfaces for face recognition
    Downloads: 0 This Week
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  • 6
    GAME stays for Generic Architecture based on Multiple Experts. Its main purpose is to make easy prototyping, test and release of prediction systems. Released by IASC group, university of Cagliari
    Downloads: 0 This Week
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  • 7
    Sanchay
    Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
    Downloads: 3 This Week
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  • 8
    Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
    Downloads: 0 This Week
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  • 9
    Neuroph OCR - Handwriting Recognition
    Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
    Downloads: 0 This Week
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  • 10
    A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.
    Downloads: 0 This Week
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  • 11
    Feature Graphs Miner
    Downloads: 0 This Week
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  • 12
    The Darwin Genetic Programming Environment is a graphical Genetic Programming Environment for the facilitation of research in Genetic Programming.
    Downloads: 0 This Week
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  • 13
    This is an attempt to create simple image recognition program in java. Demo here: http://www.youtube.com/watch?v=N4m4j4D3pJU
    Downloads: 0 This Week
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  • 14
    Highly reusable and extensible Decision-Tree (Max-Gain) framework comprising of comprehensive input-processing and display functionality. Handles nominal, linear, continuous data. For preliminary description, refer - http://sushain.com/blog/archives/
    Downloads: 0 This Week
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  • 15
    A Java application that tries to learn the ontology of sport articles in German newspapers.
    Downloads: 0 This Week
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  • 16
    Arabic Morphology& Sentacs coding
    This project aimed at creating framework and binary data format for etymological Arabic system. and will not continue hosted at sourceforge because the term of use determine me as enemy, so I am prohibited from using sourceforge services.
    Downloads: 0 This Week
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  • 17

    AraRooter

    Find Arabic Root Word

    Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy.
    Downloads: 0 This Week
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  • 18
    Spec is a voice control based on the libraries of Sphinx-4.
    Downloads: 0 This Week
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  • 19
    UnBFuzzy is an API for fuzzy-logic and learning algorithms for fuzzy systems.
    Downloads: 0 This Week
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  • 20

    Supertagger

    Software for assigning supertags.

    Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
    Downloads: 0 This Week
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