CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Abstract. Resource control has attracted increasing interest in foundational research on distributed systems. This paper focuses on space control and develops an analysis of space ...
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...
: It is a very active research field to predict protein functions and active sites by protein surface patches. It is especially challengeable to predict the active sites by structu...
Sunshin Kim, Chung Rhee, Jungdo Choi, Yong Je Chun...