Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Recently, multi-attribute negotiation has been extensively studied from a game-theoretic viewpoint. Since normal and extensive form games have the drawback of requiring an explicit...
In: Proceedings of the Eleventh International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-04), Springer-Verlag LNAI Series. c 2004 We present ...
In this paper we present the Behaviosite paradigm, a new approach to affecting the behavior of distributed agents in a multiagent system, which is inspired by biological parasites ...
Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosens...
Abstract. German compound words pose special problems to statistical machine translation systems: the occurence of each of the components in the training data is not sufficient for...