Abstract is missing.
- Scenario Reduction Techniques in Stochastic ProgrammingWerner Römisch. 1-14 [doi]
- Statistical Learning of Probabilistic BDDsTaisuke Sato. 15 [doi]
- Learning Volatility of Discrete Time Series Using Prediction with Expert AdviceVladimir V. V yugin. 16-30 [doi]
- Prediction of Long-Range Dependent Time Series Data with Performance GuaranteeMikhail Dashevskiy, Zhiyuan Luo. 31-45 [doi]
- Bipartite Graph Representation of Multiple Decision Table ClassifiersKazuya Haraguchi, Seok-Hee Hong, Hiroshi Nagamochi. 46-60 [doi]
- Bounds for Multistage Stochastic Programs Using Supervised Learning StrategiesBoris Defourny, Damien Ernst, Louis Wehenkel. 61-73 [doi]
- On Evolvability: The Swapping Algorithm, Product Distributions, and CovarianceDimitrios I. Diochnos, György Turán. 74-88 [doi]
- A Generic Algorithm for Approximately Solving Stochastic Graph Optimization ProblemsEi Ando, Hirotaka Ono, Masafumi Yamashita. 89-103 [doi]
- How to Design a Linear Cover Time Random Walk on a Finite GraphYoshiaki Nonaka, Hirotaka Ono, Kunihiko Sadakane, Masafumi Yamashita. 104-116 [doi]
- Propagation Connectivity of Random HypergraphsRobert Berke, Mikael Onsjö. 117-126 [doi]
- Graph Embedding through Random Walk for Shortest Paths ProblemsYakir Berchenko, Mina Teicher. 127-140 [doi]
- Relational Properties Expressible with One Universal Quantifier Are TestableCharles Jordan, Thomas Zeugmann. 141-155 [doi]
- Theoretical Analysis of Local Search in Software TestingAndrea Arcuri. 156-168 [doi]
- Firefly Algorithms for Multimodal OptimizationXin-She Yang. 169-178 [doi]
- Economical Caching with Stochastic PricesMatthias Englert, Berthold Vöcking, Melanie Winkler. 179-190 [doi]
- Markov Modelling of Mitochondrial BAK Activation Kinetics during ApoptosisC. Grills, D. A. Fennell, S. F. C. Shearer. 191-205 [doi]
- Stochastic Dynamics of Logistic Tumor GrowthS. F. C. Shearer, S. Sahoo, A. Sahoo. 206-220 [doi]