408 search results - page 24 / 82 » Learning Preferences for Multiclass Problems |
127
Voted
EMNLP
2010
15 years 23 days ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
138
Voted
ECML
2003
Springer
15 years 8 months ago
2003
Springer
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
165
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
162
Voted
Publication
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
118
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...