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118
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DATAMINE
1999
108views more  DATAMINE 1999»
15 years 11 days ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
99
Voted
ML
1998
ACM
115views Machine Learning» more  ML 1998»
15 years 11 days ago
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
Paul W. Finn, Stephen Muggleton, David Page, Ashwi...
116
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TIT
2002
164views more  TIT 2002»
15 years 10 days ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
94
Voted
SAC
2008
ACM
15 years 5 days ago
Pattern ranking for semi-automatic ontology construction
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
Eva Blomqvist
121
Voted
ML
2010
ACM
210views Machine Learning» more  ML 2010»
14 years 11 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...