| Document Date: 2014-12-15 16:02:52
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City New York / / Company Deep Belief Networks / Neural Information Processing Systems / D-Wave Systems / Brown / / Country Netherlands / / / Event Delayed Filing / / Facility Java library / Hall et al. / M. Hall / Theoretical Neuroscience University of Waterloo Abstract Hyperopt-sklearn / / IndustryTerm grid search / random search / machine learning algorithms / model search / optimization algorithms / pre-processing components / machine learning systems / automatic algorithm / classification systems / search spaces / pre-processing module / classification algorithms / convnets hyperopt-sklearn libSVM grid search / search space / search algorithm / weka data mining software / pre-processing / search algorithms / software project / / NaturalFeature RBF-SVMs forest / Random forest / / OperatingSystem BSD / / Organization Theoretical Neuroscience University of Waterloo Abstract Hyperopt-sklearn / IDF / MNIST Approach Committee / / Person A. Gramfort / V / R. Weiss / V / J. Mockus / V / James Bergstra Chris Eliasmith / / ProgrammingLanguage Java / Python / / ProvinceOrState New York / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / Region North Holland / / Technology Neuroscience / machine learning algorithms / Bayesian optimization algorithms / Java / training machine learning algorithms / search algorithms / optimization algorithms / six preprocessing algorithms / preprocessing algorithms / Anneal search algorithm / four preprocessing algorithms / classification algorithms / data mining / machine learning / three optimization algorithms / TPE algorithms / seven classification algorithms / / URL http /
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ICML 2014 AutoML Workshop Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn Brent Komer