The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
In this work we present the Partner Units Problem as a novel challenge for optimization methods. It captures a certain type of configuration problem that frequently occurs in indu...
Markus Aschinger, Conrad Drescher, Gerhard Friedri...
Abstract. In the last few years, the microprocessors technologies have been definitely moving to multi-core architectures, in order to improve performances as well as reduce power ...
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...