238 search results - page 15 / 48 » Learning Recursive Automata from Positive Examples |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured mod...
JMLR
2010
13 years 2 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
SEKE
2007
Springer
14 years 1 months ago
2007
Springer
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
ERSHOV
1989
Springer
13 years 11 months ago
1989
Springer
This paper reports two experiments with implementations of constructions from theoretical computer science. The first one deals with Kleene’s and Rogers’ second recursion the...
ICANN
2009
Springer
14 years 3 days ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...