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» The Future of Knowledge Representation
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IJCAI
2007
15 years 8 months ago
Recursive Random Fields
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
Daniel Lowd, Pedro Domingos
IJCAI
2007
15 years 8 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
FLAIRS
2004
15 years 8 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
IADIS
2004
15 years 8 months ago
OWL DL: description logic's syntactic variant for the semantic web
OWL DL, being established by W3C, is a Knowledge Representation Markup Language for the Semantic Web. OWL DL is a new synthesis of research on KRML for the Semantic Web, which nee...
Wei Ming Zhang, Jun-feng Song
AIPS
2000
15 years 8 months ago
New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Amnon Lotem, Dana S. Nau