Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
This paper reports our efforts on developing a language modeling approach to passage question answering. In particular, we address the following two problems: (i) generalized lang...
The paper addresses the problemof solving classic distributed algorithmic problems under the practical model of Broadcast Communication Networks. Our main result is a new Leader El...
This paperdescribesthe conceptual model of Strudel, a toolkit of generic components for conversation and action management. To empower work groups to more effectively conduct thei...
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...