138 search results - page 27 / 28 » Boosting for Regression Transfer |
HPCA
2009
IEEE
14 years 5 months ago
2009
IEEE
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
DEXAW
2010
IEEE
13 years 5 months ago
2010
IEEE
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
AI
2002
Springer
13 years 4 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
WWW
2011
ACM
12 years 11 months ago
2011
ACM
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...