Parallel programming is seen as an effective technique to improve the performance of computationally-intensive programs. This is done at the cost of increasing the complexity of t...
John Anvik, Jonathan Schaeffer, Duane Szafron, Kai...
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
General Motors (GM) has developed a first proof-ofconcept simulation model to explore impacts of various fire events in automotive paint shop operations. The approach uses a chron...
Debra A. Elkins, A. Christine LaFleur, Earnest Fos...
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...