An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...