We present a method for the efficient access to parts of remote files. The efficiency is achieved by using a file format independent compact pattern description, that allows to re...
Spot noise is a technique for texture synthesis, which is very useful for vector field visualization. This paper describes improvements and extensions of the basic principle of s...
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Software architecting is a highly knowledge-intensive process demanding and producing a large and rich amount of information. To remain competitive, companies and organizations wo...
Patricia Lago, Paris Avgeriou, Rafael Capilla, Phi...
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...