This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
The quality of the search experience has been an enduring problem for the World Wide Web. One of the well-known difficulties is the tendency of users to use short, under-specified...
Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Rob...
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...