Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Gr...
Prefetching and caching are eective techniques for improving the performance of le systems, but they have not been studied in an integrated fashion. This paper proposes four pro...
Whilst conventional approach in structural design is based on reliability-calibrated factored design formula, performance-based design customizes a solution to the specific circum...
The paper discusses the innovative patterns such as subtraction, multiplication, division, task unification and attribute dependency change for evaluating the software architectur...