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cture with application to high-dimensional pattern recognition. In Biologically Inspired Cognitive Architec- tures, 2009. AAAI Press, 2009. ARKO9. I. Arel, D. Rose, and T. Karnowski. A deep learning architecture comprising homogeneous cortical circuits for scalable spatiotemporal pattern inference. NIP
FTA00624680 534 A Glossary Sch06. .1. Schmidhuber. Code! machines: Fully Self-referential Optimal Universal Self-improvers. In B. Go- ertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SDCCK08a. Steven Schockaert, Martine De Cock. Chris Cornelis, and Etienne E. Kerne.
Ami89. Daniel J. Amit. Modeling brain function - the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARC09. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAA! Wor
EFTA00624125 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Ashy Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. Sch07. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall
1. Ami89. Daniel J. Amit. Modeling brain function — the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARCO9. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAAI Work
_OVERSIGHT_013265 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Fully Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SchO7. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall,
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