Serket: An Architecture for Constructing Large Scale Machine Learning Models
Author:
Affiliation:
1. The University of Electro-Communications
Publisher
The Robotics Society of Japan
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jrsj/40/10/40_40_867/_pdf
Reference26 articles.
1. 1) T. Nakamura, T. Nagai and T. Taniguchi: “Serket: An architecture for connecting stochastic models to realize a large-scale cognitive model,” Frontiers in Neurorobotics, vol.12, pp.1–16, 2018.
2. 2) T. Taniguchi, T. Nakamura, M. Suzuki, R. Kuniyasu, K. Hayashi, A. Taniguchi, T. Horii and T. Nagai: “Neuro-serket: development of integrative cognitive system through the composition of deep probabilistic generative models,” New Generation Computing, pp.1–26, 2020.
3. 3) “Symbol emergence in robotics tool kit (SERKET),” https://github.com/naka-lab/Serket.
4. 4) T. Nakamura, T. Nagai and N. Iwahashi: “Multimodal Object Categorization by a Robot,” IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2415–2420, 2007.
5. 5) L.W. Barsalou: “Perceptual symbol system,” Behavioral and Brain Sciences, vol.22, pp.277–660, 1999.
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