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ACL
1994
13 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
SWAP
2007
13 years 11 months ago
UFOme: A User Friendly Ontology Mapping Environment
Recently the Ontology Mapping Problem (OMP) has been identified as a key factor towards the success of the Semantic Web and related applications. This problem arises since it is po...
Giuseppe Pirrò, Domenico Talia
AAAI
2008
13 years 11 months ago
Querying Sequential and Concurrent Horn Transaction Logic Programs Using Tabling Techniques
In this poster we describe the tabling techniques for Sequential and Concurrent Horn Transaction Logic. Horn Transaction Logic is an extension of classical logic programming with ...
Paul Fodor
AIPS
2010
13 years 10 months ago
The Scanalyzer Domain: Greenhouse Logistics as a Planning Problem
We introduce the Scanalyzer planning domain, a domain for classical planning which models the problem of automatic greenhouse logistic management. At its mathematical core, the Sc...
Malte Helmert, Hauke Lasinger
BMCBI
2010
144views more  BMCBI 2010»
13 years 10 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...