1339 search results - page 200 / 268 » Learning Functions from Imperfect Positive Data |
HICSS
2002
IEEE
14 years 1 months ago
2002
IEEE
Change representation concerns how changes of text are presented in writing tools. Change representation in collaborative writing can play an important role for the collaborators&...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
KES
2006
Springer
13 years 8 months ago
2006
Springer
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...