Arama Sonuçları - function optimization program application microarray https

Şunu mu demek istediniz:
application microarray » applications microarray , activation microarray , applications microbial
function optimization » simulation optimization
optimization program » optimization problem , optimization problems , optimization proximal
program application » program applications , programs application , programs applications
microarray https » microarrays https , microarray chips , microscopy https

Applications of Evolutionary Computing Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC /

Baskı/Yayın Bilgisi 2005

İçindekiler: “...EvoBIO Contributions -- Evolutionary Biclustering of Microarray Data -- A Fuzzy Viterbi Algorithm...”
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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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Fuzzy Logic and Applications 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers /

Baskı/Yayın Bilgisi 2006

İçindekiler: “... and Mathematical Functions -- Efficient Methods for Computing Optimality Degrees of Elements in Fuzzy Weighted...”
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Computational Collective Intelligence. Technologies and Applications Second International...

Baskı/Yayın Bilgisi 2010

İçindekiler: “... -- Innovations in Computation and Application -- Fuzzy Decision Making for IJV Performance Based on Statistical...”
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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: “... Functions Conflicts Calculation -- Credal Sets Approximation by Lower Probabilities: Application to Credal...”
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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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Artificial Intelligence and Soft Computing 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II /

Baskı/Yayın Bilgisi 2014

İçindekiler: “... for Microarray Data -- New Method for Dynamic Signature Verification Using Hybrid Partitioning -- New Method...”
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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: “... Selection -- Gene Selection of DNA Microarray Data Based on Regularization Networks -- Application...”
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Discovery Science 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /

Baskı/Yayın Bilgisi 2006

İçindekiler: “... for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral...”
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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: “...Genetic Programming -- Treating Noisy Data Sets with Relaxed Genetic Programming -- Cost-Benefit...”
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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: “... -- On the Optimal Object-Oriented Program Re-modularization -- A Buffered-Mode MPI Implementation for the Cell BETM...”
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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: “... for Uncertainty Reduction in Microarray Gene Expression Pattern Analysis -- Application of Classification Methods...”
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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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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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Modeling Decisions for Artificial Intelligence 4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings /

Baskı/Yayın Bilgisi 2007

İçindekiler: “...Invited Papers -- An Overview of Fuzzy Relational Calculus and Its Applications -- Golden...”
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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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Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I /

Baskı/Yayın Bilgisi 2012

İçindekiler: “...-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity...”
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