This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
Evolutionary computation is a useful technique for learning behaviors in multiagent systems. Among the several types of evolutionary computation, one natural and popular method is...
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Information integration systems provide a uniform query interface to a set of sources. One of the key challenges for an information integration system is to provide maximally comp...
To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...