Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...
Abstract. This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available a...
Efficient evaluation of design choices, in terms of selection of algorithms to be implemented as hardware or software, and finding an optimal hw/sw design mix is an important re...
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...