678 search results - page 83 / 136 » Learning to Predict Performance from Formula Modeling and Tr... |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
MVA
2007
13 years 9 months ago
2007
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
ALGORITHMICA
2006
13 years 8 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
ACL
2006
13 years 9 months ago
2006
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...