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71
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ECAI
2004
Springer
15 years 6 months ago
Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains
Abstract. Learning in complex contexts often requires pure induction to be supported by various kinds of meta-information. Providing such information is a critical, difficult and ...
Stefano Ferilli, Floriana Esposito, Teresa Maria A...
116
Voted
FLAIRS
2008
15 years 2 months ago
Unsupervised Learning of General-Specific Noun Relations from the Web
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
104
Voted
ECML
2006
Springer
15 years 4 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
81
Voted
KDD
1994
ACM
140views Data Mining» more  KDD 1994»
15 years 4 months ago
A Comparison of Pruning Methods for Relational Concept Learning
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...
Johannes Fürnkranz
88
Voted
CORR
1999
Springer
112views Education» more  CORR 1999»
15 years 7 days ago
Learning Transformation Rules to Find Grammatical Relations
Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and-e...
Lisa Ferro, Marc B. Vilain, Alexander S. Yeh