330 search results - page 3 / 66 » Learning Concept Importance Using a Weighted Dependence Mode... |
PKDD
2009
Springer
14 years 17 days ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
DKE
2002
13 years 5 months ago
2002
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
AGENTS
1998
Springer
13 years 10 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
IJCAI
2007
13 years 7 months ago
2007
Computing semantic relatedness of natural language texts requires access to vast amounts of common-sense and domain-specific world knowledge. We propose Explicit Semantic Analysi...