Showing 63 open source projects for "optimization"

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  • 1
    optPBN

    optPBN

    An optimization toolbox for probabilistic Boolean networks

    We introduce optPBN, a Matlab-based toolbox for the optimization of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox from Shmulevich et al. optPBN offers an easy generation of probabilistic Boolean networks from Boolean rule-based modeling and allows for flexible measurement data integration from multiple experiments and a subsequent integrated optimization problem generation which then can be solved with different optimizers. ...
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  • 2
    PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.
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  • 3
    This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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  • 4
    PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.
    Downloads: 0 This Week
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  • 5
    SCOREMATH

    SCOREMATH

    Excel function for multi-criteria selection problems

    ...At the same time, our model can incorporate some user control by ranking of relative importance of the criteria. [...] decision makers only rank the relative importance of criteria, rather than specifying the degree of relativity. [...] [our model] does not require users with any optimization background."
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  • 6

    iOVFDT

    iOVFDT algorithm of incremental decision tree

    ...Inheriting the use of Hoeffding bound in VFDT algorithm for node-splitting check, it contains four optional strategies of functional tree leaf, which improve the classifying accuracy. In addition, a multi-objective incremental optimization mechanism investigates a balance among accuracy, mode size and learning speed...
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  • 7
    The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!
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  • 8
    ProteinShop is an interactive protein manipulation tool. Users apply their knowledge and intuition to quickly create a set of protein configurations that can be subjected to local or global optimization. More information at http://proteinshop.org
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  • 9
    A library including the whole bunch of standard algorithms in graph optimization and drawing. On top of this, a GUI for manipulating and editing of graphs.
    Downloads: 3 This Week
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  • 10
    PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!
    Downloads: 2 This Week
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  • 11
    Vistools is a set of tools to easily visualize some scientific data, without need to learn difficult API, so you can see your 3d results very quickly. Also some sci tools for which we made it, including vector field tracing and simple optimization.
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  • 12
    QRay is an interactive 3D modelling system in Java. It's built-in real-time raytracing engine implements the Quadric-CSG representation model and the Seed-Fill optimization method, which empower QRay to provide cool WYSIWYG 3D modelling functionalities.
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  • 13
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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