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机译:一种基于最大偏熵的多实例概念学习方法
St Francis Xavier Univ, Dept Comp Sci, Math, Stat, Antigonish, NS, Canada;
Univ Guelph, Sch Comp Sci, Guelph, ON, Canada;
Instance-based learning; Multiple instance learning; Machine learning; Weakly supervised learning; Data mining; Concept learning; Partial entropy; Knowledge extraction;
机译:Maximum entropy-based optimal threshold selection using dterministic reinforcement learning with controlled randomization
机译:Proportional topology optimisation with maximum entropy-based meshless method for minimum compliance and stress constrained problems
机译:Maximum entropy-based variational multiscale element-free Galerkin methods for scalar advection-diffusion problems
机译:Learning Task-Oriented Dialog with Neural Network Methods =基于神经网络的任务型对话学习
机译:Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications