Recently there has been a renewed interest in the application of economic models to the management of computational resources. Most of this interest is focused on pricing models f...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
Previous work proposed a technique for predicting problems resulting from replacing one version of a software component by another. The technique reports, before performing the rep...
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...