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AAAI
2000
15 years 8 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
AIPS
1994
15 years 8 months ago
Probabilistic Planning with Information Gathering and Contingent Execution
MostAI representations and algorithms for plan generation havenot included the concept of informationproducingactions (also called diagnostics, or tests, in the decision making li...
Denise Draper, Steve Hanks, Daniel S. Weld
AAAI
1990
15 years 8 months ago
Generalization with Taxonomic Information
This paper studies sorted generalization-the generalization, with respect to an arbitrary taxonomic theory, of atomic formulas containing sorted variables. It develops an algorith...
Alan M. Frisch, C. David Page Jr.
AMAI
2008
Springer
15 years 7 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
167
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SEMWEB
2001
Springer
15 years 11 months ago
On the Integration of Topic Maps and RDF data
Abstract. Topic Maps and RDF are two independently developed paradigms and standards for the representation, interchange, and exploitation of model-based data on the web. Each para...
Martin S. Lacher, Stefan Decker