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...
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Component-based software engineering proposes building complex applications from COTS (Commercial Off-The-Shelf) organized into component markets. Therefore, the main development e...
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
Abstract. The use of Off-The-Shelf software components in ComponentBased Development implies many challenges. One of them is the lack of available and well-suited data to support s...