2245 search results - page 154 / 449 » Metrics that Learn Relevance |
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
ATAL
2004
Springer
14 years 4 months ago
2004
Springer
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
NIPS
1997
14 years 3 days ago
1997
In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
TAL
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. The question answering systems are considered the next generation of search engines. This paper focuses on the first step of this process, which is to search for relevant...
COLT
2008
Springer
14 years 17 days ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...