296 search results - page 26 / 60 » How to process uncertainty in machine learning |
ALT
2008
Springer
14 years 5 months ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
ESWS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. The vision of semantic business processes is to enable the integration and inter-operability of business processes across organizational boundaries. Since different orga...
ICALT
2006
IEEE
14 years 2 months ago
2006
IEEE
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
AAAI
2010
13 years 9 months ago
2010
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...