543 search results - page 23 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
TIP
2010
13 years 6 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
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...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...