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» Finding nuggets in documents: A machine learning approach
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ICML
2004
IEEE
14 years 9 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
BMCBI
2007
147views more  BMCBI 2007»
13 years 9 months ago
Comparative analysis of long DNA sequences by per element information content using different contexts
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...
Trevor I. Dix, David R. Powell, Lloyd Allison, Jul...
IUI
2000
ACM
14 years 1 months ago
Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
Agneta Bergström, Patricija Jaksetic, Peter N...
NIPS
2004
13 years 10 months ago
Integrating Topics and Syntax
Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
Thomas L. Griffiths, Mark Steyvers, David M. Blei,...
FQAS
2009
Springer
181views Database» more  FQAS 2009»
14 years 3 months ago
Interlingual Information Extraction as a Solution for Multilingual QA Systems
Information extraction systems have been dealt with at length from the viewpoint of users posing definite questions whose expected answer is to be found in a document collection. T...
Jesús Cardeñosa, Carolina Gallardo, ...