Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...
Abstract. Our unique approach for learning English grapheme segmentation (LE-GS) rules using the Iterated Version Space Algorithm (IVSA) is presented. After de ning the problem and...
Jianna Jian Zhang, Howard J. Hamilton, Nick Cercon...
This paper presents a mixed-initiative assistant that supports a subject matter expert to extend the ontology of a learning agent, in order to express the subtle distinctions he ma...
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...