336 search results - page 35 / 68 » Learning with Equivalence Constraints and the Relation to Mu... |
NIPS
2007
13 years 9 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
ESANN
2007
13 years 9 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
ACL
2003
13 years 9 months ago
2003
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
ILP
2004
Springer
14 years 1 months ago
2004
Springer
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
JFR
2006
13 years 7 months ago
2006
We propose an approach to building topological maps of environments based on image sequences. The central idea is to use manifold constraints to find representative feature protot...