檢索結果 - program functionality using frameworks microarray https

搜索替代詞:
program functionality » protein functionality , programs functional , supra functionality
frameworks microarray » frameworks microporous , networks microarray
functionality using » functionality business , functionality design , functioning using
using frameworks » nursing frameworks , testing frameworks , making frameworks
microarray https » microarrays https , microarray chips , microscopy https

Computational Intelligence for Knowledge-Based System Design 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, 2010. Proceedings /

出版 2010

書本目錄: “... Networks -- Rule Discovery Process Based on Rough Sets under the Belief Function Framework -- Independent...”
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AI 2008: Advances in Artificial Intelligence 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, Proceedings /

出版 2008

書本目錄: “... Expensive Functions -- Discriminant Analysis Methods for Microarray Data Classification...”
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Intelligent Data Engineering and Automated Learning -- IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings /

出版 2010

書本目錄: “... for Objective Functions with Locally Correlated Variables -- Neural Data Analysis and Reduction Using Improved...”
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Applications of Evolutionary Computing Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC /

出版 2005

書本目錄: “... Processing Filters -- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition...”
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Artificial Evolution 8th International Conference, Evolution Artificielle, EA 2007 Tours, France, October 29-31, 2007, Revised Selected Papers /

出版 2008

書本目錄: “... Controllers Using Genetic Programming -- Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic...”
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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part III /

出版 2007

書本目錄: “... Process -- Rotation Invariant Texture Classification Using Gabor Wavelets -- Harmful Contents...”
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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part I /

出版 2007

書本目錄: “... Element Model for Epidermal Wound Healing -- Predicting Binding Sites of Hepatitis C Virus Complexes Using...”
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Bioinformatics Research and Applications Fourth International Symposium, ISBRA 2008, Atlanta, GA, USA, May 6-9, 2008, Proceedings /

出版 2008

書本目錄: “... Quasispecies Assembly Using Network Flows -- A Dynamic Programming Algorithm for De Novo Peptide Sequencing...”
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Bioinformatics Research and Applications Third International Symposium,ISBRA 2007, Atlanta, GA, USA, May 7-10, 2007, Proceedings /

出版 2007

書本目錄: “... Function Based on Higher Order Statistics (RF-HOS) for Two-Sample Microarray Experiments -- Searching...”
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Pattern Recognition in Bioinformatics Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings /

出版 2007

書本目錄: “...Sequence Analysis -- Automated Methods of Predicting the Function of Biological Sequences Using GO...”
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Discovery Science 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /

出版 2006

書本目錄: “... for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral...”
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Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 2010. Selected Papers /

出版 2010

書本目錄: “... Functions, Clustering Algorithms and Microarray Data Analysis -- Gaussian Process Assisted Particle Swarm...”
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Algorithms and Architectures for Parallel Processing 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Workshops, Part II /

出版 2010

書本目錄: “... Smoothing to Inverse Halftoning Based on the MTF Function of Human Eyes -- Power Improvement Using Block...”
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Foundations of Intelligent Systems 15th International Symposium ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings /

出版 2005

書本目錄: “... and Dissimilarities in Rules Using Multidimensional Scaling -- Learning Profiles Based on Hierarchical Hidden Markov...”
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