We investigate a framework where agents search for satisfying products by using referrals from other agents. Our model of a mechanism for transmitting word-of-mouth and the result...
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...
In the field of multiagent systems (MAS), the computational models of trust and reputation have attracted increasing interest since electronic and open environments became a reali...
The User Services unit of Information Technologies at the University of Delaware operates nine public computing facilities and employs about 150 students who work as assistants in...
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...