The definition of a stable model has provided a declarative semantics for Prolog programs with negation as failure and has led to the development of answer set programming. In th...
Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
Michele Banko, Michael J. Cafarella, Stephen Soder...
argumentation frameworks have played a major role as a way of understanding argumentbased inference, resulting in different argumentbased semantics. In order to make such semantic...
In this paper we prove that the well-known correspondence between the forward-backward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be...
Most AI diagnostic reasoning approaches model components and but not their interconnections, and when they do model interconnections, they model the possibility that a connection ...
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Ma...
Web search is a challenging task. Previous research mainly exploits texts on the Web pages or link information between the pages, while multimedia information is largely ignored. ...