Sciweavers

152 search results - page 5 / 31
» Incremental Knowledge Acquisition with Selective Active Lear...
Sort
View
63
Voted
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 3 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
CIKM
2008
Springer
15 years 7 days ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
IJCAI
1989
14 years 11 months ago
Concept Formation by Incremental Conceptual Clustering
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Mirsad Hadzikadic, David Y. Y. Yun
87
Voted
SEAL
1998
Springer
15 years 2 months ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
79
Voted
AAAI
1998
14 years 11 months ago
Towards Text Knowledge Engineering
We introduce a methodology for automating the maintenance of domain-specific taxonomies based on natural language text understanding. A given ontology is incrementally updated as ...
Udo Hahn, Klemens Schnattinger