Результаты поиска - programming optimization processes functionality microarray https

Альтернативы поиска:
programming optimization » foraging optimization , programming application , programming applications
functionality microarray » functional microarray , function microarrays , functional microrna
processes functionality » processes functionalities , processing functionality , processes functional
optimization processes » optimization process , optimization procedures , utilization processes
microarray https » microarrays https , microarray chips , microscopy https

Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 2010. Selected Papers /

Опубликовано 2010

Оглавление: “... Functions, Clustering Algorithms and Microarray Data Analysis -- Gaussian Process Assisted Particle Swarm...”
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Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I /

Опубликовано 2012

Оглавление: “...-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity...”
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Algorithms and Architectures for Parallel Processing 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Workshops, Part II /

Опубликовано 2010

Оглавление: “...) -- Efficient Grid on the OTIS-Arrangment Network -- Single Thread Program Parallelism with Dataflow Abstracting...”
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Statistical Modeling and Analysis for Complex Data Problems

Опубликовано 2005

Оглавление: “... for Comparison of Two Independent cDNA Filter Microarrays -- Large Deviations for Interacting Processes...”
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Applications of Evolutionary Computing Evoworkshops: EvoBIO, EvoCOMNET, EvoHot, EvoIASP, EvoMUSART, and EvoSTOC /

Опубликовано 2005

Оглавление: “... Processing Filters -- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition...”
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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 /

Опубликовано 2008

Оглавление: “... of Agreement Subtrees -- Practical Bias Variance Decomposition -- Using Gaussian Processes to Optimize...”
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Computational Intelligence for Knowledge-Based System Design 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, 2010. Proceedings /

Опубликовано 2010

Оглавление: “... Networks -- Rule Discovery Process Based on Rough Sets under the Belief Function Framework -- Independent...”
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COMPSTAT 2006 - Proceedings in Computational Statistics 17th Symposium Held in Rome, Italy, 2006 /

Опубликовано 2006

Оглавление: “... rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image...”
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Intelligent Data Engineering and Automated Learning -- IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings /

Опубликовано 2010

Оглавление: “... 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 /

Опубликовано 2010

Оглавление: “...-learning Approach to Function Approximation -- On the Effectiveness of Gene Selection for Microarray...”
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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part I /

Опубликовано 2007

Оглавление: “... -- 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 /

Опубликовано 2007

Оглавление: “... -- Context-Aware Optimal Assignment of a Chain-Like Processing Task onto Chain-Like Resources in M-Health...”
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Fuzzy Logic and Applications 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers /

Опубликовано 2006

Оглавление: “... and Mathematical Functions -- Efficient Methods for Computing Optimality Degrees of Elements in Fuzzy Weighted...”
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Case-Based Reasoning Research and Development 6th International Conference on Case-Based Reasoning, ICCBR 2005, Chicago, IL, USA, August 23-26, 2005, Proceedings /

Опубликовано 2005

Оглавление: “... Reasoning -- Learning to Optimize Plan Execution in Information Agents -- Cased-Based Reasoning by Human...”
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Complex Data Modeling and Computationally Intensive Statistical Methods

по Mantovan, Pietro., Mantovan, Pietro., Secchi, Piercesare.
Опубликовано 2010

Оглавление: “... and locally optimal designs for Gaussian Universal Kriging -- Exploitation, integration and statistical...”
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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 /

Опубликовано 2005

Оглавление: “... Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization...”
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Discovery Science 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /

Опубликовано 2006

Оглавление: “... for Robotic Control -- The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods -- Spectral...”
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Artificial Intelligence and Soft Computing 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II /

Опубликовано 2014

Оглавление: “... Optimization of Process Operations -- A New Measure of Conflict and Hybrid Combination Rules in the Evidence...”
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Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings /

Опубликовано 2005

Оглавление: “... -- New Rules for Hybrid Spatial Reasoning -- Using Pre-aggregation for Efficient Spatial Query Processing...”
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Computational Collective Intelligence. Technologies and Applications Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part II /

Опубликовано 2010

Оглавление: “... Oral Training -- A Gene Selection Method for Microarray Data Based on Sampling -- The Similarity...”
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