750 search results - page 56 / 150 » Learning SVMs from Sloppily Labeled Data |
ICDM
2002
IEEE
14 years 2 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
ICASSP
2011
IEEE
13 years 27 days ago
2011
IEEE
In this paper, we describe methods to exploit search queries mined from search engine query logs to improve domain detection in spoken language understanding. We propose extending...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
COLT
2004
Springer
14 years 2 months ago
2004
Springer
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
EMNLP
2006
13 years 10 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...