Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models

This paper describes a framework for the development of an integrative cognitive system based on probabilistic generative models (PGMs) called Neuro-SERKET. Neuro-SERKET is an extension of SERKET, which can compose elemental PGMs developed in a distributed manner and provide a scheme that allows the...

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Veröffentlicht in:	arXiv.org 2020-01
Hauptverfasser:	Taniguchi, Tadahiro, Nakamura, Tomoaki, Suzuki, Masahiro, Kuniyasu, Ryo, Hayashi, Kaede, Taniguchi, Akira, Horii, Takato, Nagai, Takayuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic speech recognition Computer Science - Artificial Intelligence Computer Science - Learning Digits Dirichlet problem Neural networks Probabilistic models
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