Theoretical analysis of local search in software testing
 Andrea Arcuri
 
Learning volatility of discrete time series using prediction with expert advice

Vladimir V. V'yugin
 
Graph embedding through random walk for shortest paths problems

Yakir Berchenko and Mina Teicher
 
Firefly algorithms for multimodal optimization

XinShe Yang
 
Prediction of longrange dependent time series data with performance guarantee

Mikhail Dashevskiy and Zhiyuan Luo
 
A generic algorithm for approximately solving stochastic graph optimization problems

Ei Ando, Hirotaka Ono, and Masafumi Yamashita
 
Economical caching with stochastic prices

Matthias Englert, Berthold Voecking, and Melanie Winkler
 
Stochastic dynamics of logistic tumor growth

Francesca Shearer, S. Sahoo, and A. Sahoo
 
Relational properties expressible with one universal quantifier are testable

Charles Jordan and Thomas Zeugmann
 
Markov modelling of BCL2 controlled apoptosis

C. Grills, D.A. Fennell, and Francesca Shearer
 
Propagation connectivity of random hyper graphs

Robert Berke and Mikael Onsjo
 
Bipartite graph representation of multiple decision table classifiers

Kazuya Haraguchi, SeokHee Hong, and Hiroshi Nagamochi
 
Bounds for multistage stochastic programs using supervised learning strategies

Boris Defourny, Damien Ernst, and Louis Wehenkel
 
On evolvability: the swapping algorithm, product distributions, and covariance

Dimitrios Diochnos and György Turán
 
How to design a linear cover time random walk on a finite graph

Yoshiaki Nonaka, Hirotaka Ono, Kunihiko Sadakane, and Masafumi Yamashita
 