Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
We study several complexity parameters for first order formulas and their suitability for first order learning models. We show that the standard notion of size is not captured by...
The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many dispar...
Paul R. Hill, Cedric Nishan Canagarajah, David R. ...
This paper presents a novel approach to diagnosis which addresses the two problems - computational complexity of abduction and device models - that have prevented model-based diag...
Abstract. There is a growing research interest in the design of competitive and adaptive Game AI for complex computer strategy games. In this paper, we present a novel approach for...