Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642049439, 9783642049446

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A Generic Algorithm for Approximately Solving Stochastic Graph Optimization Problems

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_8 ◽

2009 ◽

pp. 89-103

Author(s):

Ei Ando ◽

Hirotaka Ono ◽

Masafumi Yamashita

Keyword(s):

Optimization Problems ◽

Generic Algorithm ◽

Graph Optimization ◽

Stochastic Graph

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Bipartite Graph Representation of Multiple Decision Table Classifiers

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_5 ◽

2009 ◽

pp. 46-60 ◽

Author(s):

Kazuya Haraguchi ◽

Seok-Hee Hong ◽

Hiroshi Nagamochi

Keyword(s):

Bipartite Graph ◽

Graph Representation ◽

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Graph Embedding through Random Walk for Shortest Paths Problems

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_11 ◽

2009 ◽

pp. 127-140 ◽

Author(s):

Yakir Berchenko ◽

Mina Teicher

Keyword(s):

Random Walk ◽

Shortest Paths ◽

Graph Embedding

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Statistical Learning of Probabilistic BDDs

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_2 ◽

2009 ◽

pp. 15-15

Author(s):

Taisuke Sato

Keyword(s):

Statistical Learning

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How to Design a Linear Cover Time Random Walk on a Finite Graph

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_9 ◽

2009 ◽

pp. 104-116 ◽

Author(s):

Yoshiaki Nonaka ◽

Hirotaka Ono ◽

Kunihiko Sadakane ◽

Masafumi Yamashita

Keyword(s):

Random Walk ◽

Finite Graph ◽

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Scenario Reduction Techniques in Stochastic Programming

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_1 ◽

2009 ◽

pp. 1-14 ◽

Author(s):

Werner Römisch

Keyword(s):

Stochastic Programming ◽

Scenario Reduction ◽

Reduction Techniques

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Prediction of Long-Range Dependent Time Series Data with Performance Guarantee

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_4 ◽

2009 ◽

pp. 31-45 ◽

Author(s):

Mikhail Dashevskiy ◽

Zhiyuan Luo

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

Performance Guarantee

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Learning Volatility of Discrete Time Series Using Prediction with Expert Advice

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_3 ◽

2009 ◽

pp. 16-30 ◽

Author(s):

Vladimir V. V’yugin

Keyword(s):

Time Series ◽

Discrete Time ◽

Expert Advice ◽

Prediction With Expert Advice ◽

Discrete Time Series

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Theoretical Analysis of Local Search in Software Testing

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_13 ◽

2009 ◽

pp. 156-168 ◽

Author(s):

Andrea Arcuri

Keyword(s):

Theoretical Analysis ◽

Local Search ◽

Software Testing

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Propagation Connectivity of Random Hypergraphs

Stochastic Algorithms: Foundations and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-04944-6_10 ◽

2009 ◽

pp. 117-126 ◽

Author(s):

Robert Berke ◽

Mikael Onsjö

Keyword(s):

Random Hypergraphs

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