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ECAI
2000
Springer
14 years 3 days ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
FLAIRS
2001
13 years 9 months ago
User-Agent Interactions in Mixed-Initiative Learning
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
ILP
2004
Springer
14 years 1 months ago
On Avoiding Redundancy in Inductive Logic Programming
ILP systems induce first-order clausal theories performing a search through very large hypotheses spaces containing redundant hypotheses. The generation of redundant hypotheses ma...
Nuno A. Fonseca, Vítor Santos Costa, Fernan...
PROLAMAT
1998
13 years 9 months ago
Design Knowledge Collection by Modeling
Since design is a process in which designers use various kinds of knowledge and it is an open-ended problem, it is difficult to prepare all necessary knowledge before design. Also...
Masaharu Yoshioka, T. Sekiya, Tetsuo Tomiyama