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AI
2002
Springer
13 years 9 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
AR
2004
107views more  AR 2004»
13 years 9 months ago
Inevitable collision states - a step towards safer robots?
-- An inevitable collision state for a robotic system can be defined as a state for which, no matter what the future trajectory followed by the system is, a collision with an obsta...
Thierry Fraichard, Hajime Asama
BMCBI
2004
125views more  BMCBI 2004»
13 years 9 months ago
A functional hierarchical organization of the protein sequence space
Background: It is a major challenge of computational biology to provide a comprehensive functional classification of all known proteins. Most existing methods seek recurrent patte...
Noam Kaplan, Moriah Friedlich, Menachem Fromer, Mi...
BMCBI
2004
166views more  BMCBI 2004»
13 years 9 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
BMCBI
2004
151views more  BMCBI 2004»
13 years 9 months ago
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics
Background: The general problem of RNA secondary structure prediction under the widely used thermodynamic model is known to be NP-complete when the structures considered include a...
Jens Reeder, Robert Giegerich
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