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IJCAI
2003
13 years 7 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
ICASSP
2011
IEEE
12 years 9 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
NMR
2004
Springer
13 years 11 months ago
A probabilistic approach to default reasoning
A logic is defined which in addition to propositional calculus contains several types of probabilistic operators which are applied only to propositional formulas. For every s ∈...
Miodrag Raskovic, Zoran Ognjanovic, Zoran Markovic
CALCO
2009
Springer
138views Mathematics» more  CALCO 2009»
14 years 6 days ago
Kleene Monads: Handling Iteration in a Framework of Generic Effects
Abstract. Monads are a well-established tool for modelling various computational effects. They form the semantic basis of Moggi’s computational metalanguage, the metalanguage of ...
Sergey Goncharov, Lutz Schröder, Till Mossako...
BMCBI
2008
133views more  BMCBI 2008»
13 years 5 months ago
Towards ontology-driven navigation of the lipid bibliosphere
Background: The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available ...
Christopher J. O. Baker, Kanagasabai Rajaraman, We...