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» Evolving Memory Cell Structures for Sequence Learning
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102
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ECAL
2007
Springer
15 years 8 months ago
Emergence of Genetic Coding: An Information-Theoretic Model
This paper1 introduces a simple model for evolutionary dynamics approaching the “coding threshold”, where the capacity to symbolically represent nucleic acid sequences emerges ...
Piraveenan Mahendra, Daniel Polani, Mikhail Prokop...
142
Voted
SAC
2004
ACM
15 years 8 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White
120
Voted
AR
2007
105views more  AR 2007»
15 years 2 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
113
Voted
RECOMB
2001
Springer
16 years 2 months ago
Predicting the beta-helix fold from protein sequence data
A method is presented that uses b-strand interactions to predict the parallel right-handed b-helix super-secondary structural motif in protein sequences. A program called BetaWrap...
Phil Bradley, Lenore Cowen, Matthew Menke, Jonatha...
134
Voted
ICMLA
2010
15 years 13 days ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson