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» Reasoning about Knowledge Using Rough Sets
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AAAI
2000
14 years 6 hour ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
14 years 3 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
IJCAI
2003
14 years 16 hour ago
Evaluating Significance of Inconsistencies
Inconsistencies frequently occur in knowledge about the real-world. Some of these inconsistencies may be more significant than others, and some knowledgebases (sets of formulae) m...
Anthony Hunter
DALT
2009
Springer
14 years 5 months ago
Playing with Rules
Abstract. In this paper we revisit Logic Programming under the answer-set semantics - or Answer-Set Programming - and its extension Evolving Logic Programming, two languages that u...
João Leite
AAAI
1998
14 years 7 hour ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans