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EWCBR
2008
Springer
13 years 9 months ago
ColibriCook: A CBR System for Ontology-Based Recipe Retrieval and Adaptation
In this paper we present ColibriCook: a CBR system for ontology-based cooking recipe retrieval and adaptation. The system's purpose is to participate in the 1st Computer Cooki...
Juan DeMiguel, Laura Plaza, Belén Dí...
CORR
1999
Springer
81views Education» more  CORR 1999»
13 years 7 months ago
Explanation-based Learning for Machine Translation
In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate c...
Janine Toole, Fred Popowich, Devlan Nicholson, Dav...
ICPR
2010
IEEE
13 years 7 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
HICSS
2005
IEEE
175views Biometrics» more  HICSS 2005»
14 years 1 months ago
Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...
Benjamin B. Perry, Tim Van Allen
PR
2010
163views more  PR 2010»
13 years 6 months ago
Optimal feature selection for support vector machines
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
Minh Hoai Nguyen, Fernando De la Torre