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» Training a Selection Function for Extraction
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GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 1 months ago
Run Transferable Libraries - Learning Functional Bias in Problem Domains
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
Maarten Keijzer, Conor Ryan, Mike Cattolico
SGAI
2009
Springer
14 years 2 months ago
From Source Code to Runtime Behaviour: Software Metrics Help to Select the Computer Architecture
The decision which hardware platform to use for a certain application is an important problem in computer architecture. This paper reports on a study where a data-mining approach i...
Frank Eichinger, David Kramer, Klemens Böhm, ...
CIARP
2004
Springer
14 years 1 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
PR
2006
111views more  PR 2006»
13 years 7 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
IEAAIE
2001
Springer
14 years 3 days ago
Selecting a Relevant Set of Examples to Learn IE-Rules
The growing availability of online text has lead to an increase in the use of automatic knowledge acquisition approaches from textual data, as in Information Extraction (IE). Some ...
Jordi Turmo, Horacio Rodríguez