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Showing 4 open source projects for "scheme"
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
...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 with large size. -
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A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.
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Burrow-owl is a software package for visualizing multidimensional nuclear magnetic resonance (NMR) spectra, with an emphasis on spectra used in macromolecular structure determination.
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This project is a framework (i.e., library) for Mac OS X applications to link in. It provides plots of data together with the supporting machinery (objects inheriting from NSDocument, for example) that applications can use to manipulate the plots.
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