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Author:   Osamu Watanabe ,  Thomas Zeugmann
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2009 ed.
Volume:   5792
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642049439

ISBN 10:   3642049435
Pages:   221
Publication Date:   05 October 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Invited Papers.- Scenario Reduction Techniques in Stochastic Programming.- Statistical Learning of Probabilistic BDDs.- Regular Contributions.- Learning Volatility of Discrete Time Series Using Prediction with Expert Advice.- Prediction of Long-Range Dependent Time Series Data with Performance Guarantee.- Bipartite Graph Representation of Multiple Decision Table Classifiers.- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies.- On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance.- A Generic Algorithm for Approximately Solving Stochastic Graph Optimization Problems.- How to Design a Linear Cover Time Random Walk on a Finite Graph.- Propagation Connectivity of Random Hypergraphs.- Graph Embedding through Random Walk for Shortest Paths Problems.- Relational Properties Expressible with One Universal Quantifier Are Testable.- Theoretical Analysis of Local Search in Software Testing.- Firefly Algorithms for Multimodal Optimization.- Economical Caching with Stochastic Prices.- Markov Modelling of Mitochondrial BAK Activation Kinetics during Apoptosis.- Stochastic Dynamics of Logistic Tumor Growth.

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