297 search results - page 2 / 60 » Learning from Ambiguously Labeled Examples |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
JMLR
2006
13 years 4 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
IJON
2010
13 years 3 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
COLING
2008
13 years 6 months ago
2008
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...