Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
During Spring 1998, we embarked on pedagogical journey into unknown terrains -- the terrains of collaborative teaching and World Wide Web instruction. In this paper we present a j...
constraint abstractions into integer programming, and to discuss possible combinations of the two approaches. Combinatorial problems are ubiquitous in many real world applications ...
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
m, modules, types and operations), different kinds of abstractions (functional/data, types/objects etc.) without falling into a loose collection of diagram languages. Considering a...