1484 search results - page 108 / 297 » Semi-supervised Learning from General Unlabeled Data |
CHI
2004
ACM
14 years 8 months ago
2004
ACM
Interface design for the home requires a realistic understanding of the complexity and richness of the human activities that go on there; it is our goal to develop tools that enab...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
WWW
2011
ACM
13 years 2 months ago
2011
ACM
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...