Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Abstract. Shared last level cache is crucial to performance. However, multithread program model incurs serious contention in shared cache. In this paper, to reduce average cache ac...
Abstract. We present a system that allows for changing the major camera parameters after the acquisition of an image. Using the high dynamic range composition technique and additio...
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolf...
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...