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Adam Prügel-Bennett

Showing results (1-10 of 8) with videos related to

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Neural Computation|June 1, 2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description LengthSteven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Evolutionary Computation|June 13, 2015
An Analysis of the Fitness Landscape of Travelling Salesman ProblemMohammad-H Tayarani-N, Adam Prügel-Bennett
Bioinformatics (Oxford, England)|August 7, 2004
Training HMM structure with genetic algorithm for biological sequence analysisKyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
A Bayesian framework for extracting human gait using strong prior knowledgeZiheng Zhou, Adam Prügel-Bennett, Robert I Damper
Journal of Theoretical Biology|July 13, 2010
Correlated fluctuations carry signatures of gene regulatory network dynamicsVijayanarasimha H Pakka, Adam Prügel-Bennett, Srinandan Dasmahapatra
BMC Bioinformatics|September 25, 2007
An evolutionary method for learning HMM structure: prediction of protein secondary structureKyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, et al.
Plos One|June 20, 2008
Optimal probe length varies for targets with high sequence variation: implications for probe library design for resequencing highly variable genesNiall J Haslam, Nava E Whiteford, Gerald Weber, et al.
Nucleic Acids Research|November 9, 2005
An analysis of the feasibility of short read sequencingNava Whiteford, Niall Haslam, Gerald Weber, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neural Computation|June 1, 2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description LengthSteven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Evolutionary Computation|June 13, 2015
An Analysis of the Fitness Landscape of Travelling Salesman ProblemMohammad-H Tayarani-N, Adam Prügel-Bennett
Bioinformatics (Oxford, England)|August 7, 2004
Training HMM structure with genetic algorithm for biological sequence analysisKyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
A Bayesian framework for extracting human gait using strong prior knowledgeZiheng Zhou, Adam Prügel-Bennett, Robert I Damper
Journal of Theoretical Biology|July 13, 2010
Correlated fluctuations carry signatures of gene regulatory network dynamicsVijayanarasimha H Pakka, Adam Prügel-Bennett, Srinandan Dasmahapatra
BMC Bioinformatics|September 25, 2007
An evolutionary method for learning HMM structure: prediction of protein secondary structureKyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, et al.
Plos One|June 20, 2008
Optimal probe length varies for targets with high sequence variation: implications for probe library design for resequencing highly variable genesNiall J Haslam, Nava E Whiteford, Gerald Weber, et al.
Nucleic Acids Research|November 9, 2005
An analysis of the feasibility of short read sequencingNava Whiteford, Niall Haslam, Gerald Weber, et al.
Pageof 1