Arama Sonuçları - program optimization problems functionality microarray https

Şunu mu demek istediniz:
functionality microarray » functional microarray , function microarrays , functional microrna
problems functionality » protein functionality , problem functional , problem functionals
program optimization » program optimizations , problem optimization , programming optimization
microarray https » microarrays https , microarray chips , microscopy https

Statistical Modeling and Analysis for Complex Data Problems

Baskı/Yayın Bilgisi 2005

İçindekiler: “... Beach County -- Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using...”
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Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 2010. Selected Papers /

Baskı/Yayın Bilgisi 2010

İçindekiler: “... Problem -- A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search...”
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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 /

Baskı/Yayın Bilgisi 2008

İçindekiler: “... Expensive Functions -- Discriminant Analysis Methods for Microarray Data Classification...”
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Computational Intelligence for Knowledge-Based System Design 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, 2010. Proceedings /

Baskı/Yayın Bilgisi 2010

İçindekiler: “... Indistinguishability Operators -- Discovering Rules-Based Similarity in Microarray Data -- Fuzzy Clustering...”
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Artificial Evolution 8th International Conference, Evolution Artificielle, EA 2007 Tours, France, October 29-31, 2007, Revised Selected Papers /

Baskı/Yayın Bilgisi 2008

İçindekiler: “... Optimization -- Self-organization and Evolution Combined to Address the Vehicle Routing Problem...”
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Applications of Evolutionary Computing Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC /

Baskı/Yayın Bilgisi 2005

İçindekiler: “... Problem -- Counter-Based Ant Colony Optimization as a Hardware-Oriented Meta-heuristic -- Use...”
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Intelligent Data Engineering and Automated Learning -- IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings /

Baskı/Yayın Bilgisi 2010

İçindekiler: “... in Microarray-Based Detection of Cancer -- An Evolutionary Multi-objective Optimization of Market Structures...”
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Intelligent Information and Database Systems Second International Conference, ACIIDS 2010, Hue City, Vietnam, March 24-26, 2010, Proceedings, Part II /

Baskı/Yayın Bilgisi 2010

İçindekiler: “...-learning Approach to Function Approximation -- On the Effectiveness of Gene Selection for Microarray...”
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Complex Data Modeling and Computationally Intensive Statistical Methods

Yazar: Mantovan, Pietro., Mantovan, Pietro., Secchi, Piercesare.
Baskı/Yayın Bilgisi 2010

İçindekiler: “... and locally optimal designs for Gaussian Universal Kriging -- Exploitation, integration and statistical...”
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Algorithms and Architectures for Parallel Processing 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Workshops, Part II /

Baskı/Yayın Bilgisi 2010

İçindekiler: “...) -- Efficient Grid on the OTIS-Arrangment Network -- Single Thread Program Parallelism with Dataflow Abstracting...”
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Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings /

Baskı/Yayın Bilgisi 2005

İçindekiler: “... Radial Basis Function Neural Network -- An Empirical Study of Hoeffding Racing for Model Selection in k...”
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COMPSTAT 2006 - Proceedings in Computational Statistics 17th Symposium Held in Rome, Italy, 2006 /

Baskı/Yayın Bilgisi 2006

İçindekiler: “... rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image...”
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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part I /

Baskı/Yayın Bilgisi 2007

İçindekiler: “... for Parabolic Optimal Control Problems -- Searching and Updating Metric Space Databases Using the Parallel EGNAT...”
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Computational Collective Intelligence. Technologies and Applications Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part II /

Baskı/Yayın Bilgisi 2010

İçindekiler: “... Oral Training -- A Gene Selection Method for Microarray Data Based on Sampling -- The Similarity...”
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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part III /

Baskı/Yayın Bilgisi 2007

İçindekiler: “... Rules Based on Extended Function Dependency -- A Problem Oriented Approach to Data Mining in Distributed...”
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Bioinformatics Research and Applications Third International Symposium,ISBRA 2007, Atlanta, GA, USA, May 7-10, 2007, Proceedings /

Baskı/Yayın Bilgisi 2007

İçindekiler: “... 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 /

Baskı/Yayın Bilgisi 2007

İçindekiler: “...Sequence Analysis -- Automated Methods of Predicting the Function of Biological Sequences Using GO...”
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Fuzzy Logic and Applications 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers /

Baskı/Yayın Bilgisi 2006

İçindekiler: “... and Possibility Theory -- A Possibilistic Approach to Combinatorial Optimization Problems on Fuzzy-Valued Matroids...”
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Artificial Intelligence and Soft Computing 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II /

Baskı/Yayın Bilgisi 2014

İçindekiler: “... Controlled Induction Motor Drives -- ALMM Solver - A Tool for Optimization Problems -- Tournament Searching...”
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Advances in Intelligent Data Analysis VI 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings /

Baskı/Yayın Bilgisi 2005

İçindekiler: “... Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization...”
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