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» Learning the k in k-means
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ISDA
2008
IEEE
14 years 1 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
AIIA
2007
Springer
14 years 1 months ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ECML
2005
Springer
14 years 27 days ago
Learning (k, l)-Contextual Tree Languages for Information Extraction
This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k,l)-contextual tree languages. It also introduces a method to...
Stefan Raeymaekers, Maurice Bruynooghe, Jan Van de...
DC
2001
13 years 8 months ago
Effective Retrieval of Educational Resources by Using Learning Object Metadata for K-12 Schools in Japan
We have customized learning object metadata (LOM) for educational resources on the basis of the LOM investigated by IEEE [1] and IMS [2], in order to make it consistent with Japan...
Masanori Shinohara, Mayumi Okamoto, Yasuhiro Okui,...
ECML
2003
Springer
14 years 17 days ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...