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ESANN
2007
13 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
AO
2007
144views more  AO 2007»
13 years 7 months ago
Social acquisition of ontologies from communication processes
This work introduces a formal framework for the social acquisition of ontologies which are constructed dynamically from overhearing the possibly conflicting symbolic interaction o...
Matthias Nickles
AAAI
1998
13 years 8 months ago
OKBC: A Programmatic Foundation for Knowledge Base Interoperability
The technology for building large knowledge bases (KBs) is yet to witness a breakthrough so that a KB can be constructed by the assembly of prefabricated knowledge components. Kno...
Vinay K. Chaudhri, Adam Farquhar, Richard Fikes, P...
IUI
1993
ACM
13 years 11 months ago
Reducing user effort in collaboration support
incompatibility. We introduce Mona, an operational email system embodying this automatic approach. Mona establishes conversation context independently of user actions through the ...
Andy Cockburn, Harold W. Thimbleby
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon