Showing 2 open source projects for "novel"

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    Random Bits Forest

    RBF: a Strong Classifier/Regressor for Big Data

    We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data...
    Downloads: 0 This Week
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    Template database is a novel relational database that provides schema freedom. The current implementation is on top of PostgreSQL. It has interesting properties that make it suitable for data analysis / annotation / modeling.
    Downloads: 0 This Week
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