Active Learning with Statistical Models
View PDF Abstract: For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks. We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussian
Orchestra
OrchestraAn open-source human-in-the-loop AI system to orchestrate teams of experts and machines Humans where they're best, machines for the restOrchestra automates repetitive, rules-based project tasks so team members can focus on creative and analytical work, learn new skills, and mentor others. Using a human-in-the-loop AI system like Orchestra will improve your project management processes, re
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Active Learning 入門
Photo Tourism: Microsoft Research, Interactive Visual Media Group
