395 search results - page 23 / 79 » Learning to rank with partially-labeled data |
104
Voted
SIGIR
2009
ACM
15 years 8 months ago
2009
ACM
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
140
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WWW
2011
ACM
14 years 8 months ago
2011
ACM
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
111
Voted
SIGIR
2011
ACM
14 years 4 months ago
2011
ACM
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
145
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JSS
2010
14 years 8 months ago
2010
We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Mot...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...