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» Learning to Select a Ranking Function
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BMCBI
2008
135views more  BMCBI 2008»
13 years 8 months ago
Functional site prediction selects correct protein models
Background: The prediction of protein structure can be facilitated by the use of constraints based on a knowledge of functional sites. Without this information it is still possibl...
Vijayalakshmi Chelliah, William R. Taylor
ICIP
2000
IEEE
14 years 9 months ago
Nonlinear Image Interpolation Through Extended Permutation Filters
This paper examines the application of extended permutation rank selection (EPRS) filters in image interpolation. EPRS filters are constrained to output an order statistic based o...
Deva Ramanan, Kenneth E. Barner
SIGIR
2011
ACM
12 years 10 months ago
Parallel learning to rank for information retrieval
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...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
ICML
2005
IEEE
14 years 8 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
ISBRA
2011
Springer
12 years 11 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao