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IRMA
2000
13 years 9 months ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
RAS
2010
115views more  RAS 2010»
13 years 6 months ago
Learning grasping points with shape context
This paper presents work on vision based robotic grasping. The proposed method adopts a learning framework where prototypical grasping points are learnt from several examples and ...
Jeannette Bohg, Danica Kragic
ICGI
2010
Springer
13 years 9 months ago
Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher
Angluin showed that the class of regular languages could be learned from a Minimally Adequate Teacher (mat) providing membership and equivalence queries. Clark and Eyraud (2007) sh...
Alexander Clark
BPM
2009
Springer
119views Business» more  BPM 2009»
14 years 3 months ago
A Formal Model for Process Context Learning
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
Johny Ghattas, Pnina Soffer, Mor Peleg
ICGI
2010
Springer
13 years 5 months ago
Learning Context Free Grammars with the Syntactic Concept Lattice
The Syntactic Concept Lattice is a residuated lattice based on the distributional structure of a language; the natural representation based on this is a context sensitive formalism...
Alexander Clark