A mixed-method study combining a bibliometric review of 2,015 publications with interviews of 10 developers and 10 users ...
A conditional generative adversarial network tuned by an Adaptive Jaya Algorithm generated synthetic forest images that, ...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...
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