613 search results - page 80 / 123 » Relevance Feedback in XML Retrieval |
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
CIVR
2005
Springer
14 years 2 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
CLEF
2004
Springer
14 years 18 days ago
2004
Springer
The main goal of the bilingual and monolingual participation of the MIRACLE team at CLEF 2004 was testing the effect of combination approaches to information retrieval. The starti...
PR
2007
13 years 8 months ago
2007
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning alg...