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BMCBI
2006
159views more  BMCBI 2006»
14 years 10 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
ICPR
2004
IEEE
15 years 11 months ago
From Massively Parallel Image Processors to Fault-Tolerant Nanocomputers
Parallel processors such as SIMD computers have been successfully used in various areas of high performance image and data processing. Due to their characteristics of highly regula...
Jie Han, Pieter Jonker
ICANN
2009
Springer
15 years 2 months ago
Learning Complex Population-Coded Sequences
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
Kiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, ...
EELC
2006
128views Languages» more  EELC 2006»
15 years 1 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
ICAISC
2010
Springer
15 years 3 hour ago
Computer Assisted Peptide Design and Optimization with Topology Preserving Neural Networks
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Jörg D. Wichard, Sebastian Bandholtz, Carsten...