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» Learning Approaches to Wrapper Induction
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AAAI
1998
15 years 1 months ago
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
Recommendationsystems makesuggestions about artifacts to a user. For instance, they maypredict whether a user wouldbe interested in seeing a particular movie. Social recomendation...
Chumki Basu, Haym Hirsh, William W. Cohen
ICCS
2005
Springer
15 years 5 months ago
On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
Georgios Paliouras
FUIN
2006
95views more  FUIN 2006»
14 years 11 months ago
Multistrategy Operators for Relational Learning and Their Cooperation
Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
Floriana Esposito, Nicola Fanizzi, Stefano Ferilli...
ICML
2009
IEEE
16 years 19 days ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
SAC
2009
ACM
15 years 6 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...