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» Protein secondary structure prediction using neural networks
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BMCBI
2007
109views more  BMCBI 2007»
13 years 8 months ago
A domain-based approach to predict protein-protein interactions
Background: Knowing which proteins exist in a certain organism or cell type and how these proteins interact with each other are necessary for the understanding of biological proce...
Mudita Singhal, Haluk Resat
ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 9 months ago
Self-adaptive constructivism in Neural XCS and XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull, Pier Luca Lanzi
ASC
2000
13 years 9 months ago
Extended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
BMCBI
2004
128views more  BMCBI 2004»
13 years 7 months ago
Structural characterization of genomes by large scale sequence-structure threading: application of reliability analysis in struc
Background: We establish that the occurrence of protein folds among genomes can be accurately described with a Weibull function. Systems which exhibit Weibull character can be int...
Artem Cherkasov, Shannan J. Ho Sui, Robert C. Brun...