We consider the problem of localizing network performance bottlenecks and evaluate how various optimization techniques developed for reconstructing link delays perform on this dec...
: In the last decade many governments have created e-services in order to deliver instant and advanced services to their citizens. One of the major transactions between the state a...
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...