502 search results - page 41 / 101 » Learning from General Label Constraints |
ALT
2009
Springer
14 years 1 days ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
SVM based image retrieval suffers from the scarcity of labelled samples. In this paper, this problem is solved by incorporating prior knowledge into SVM. Firstly, some prior knowl...
TCS
2011
13 years 3 months ago
2011
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
RIAO
2007
2007
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations
13 years 10 months ago
Many documents on the Web are formated in a weakly structured format. Because of their weak semantic and because of the heterogeneity of their formats, the information conveyed by...
RSCTC
1993
Springer
14 years 24 days ago
1993
Springer
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...