Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots
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DOI: 10.3389/fnbot.2017.00066
Abstract: In this paper, we propose a Bayesian generative model that can form multiple categories based on each sensory-channel and can associate words with any of the four sensory-channels (action, position, object, and color). This paper… read more here.
Keywords: cross situational; situational learning; word; bayesian generative ... See more keywords