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ICML
2008
IEEE
14 years 7 months ago
Listwise approach to learning to rank: theory and algorithm
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Ha...
SIGUCCS
2000
ACM
13 years 11 months ago
Automating Residence Hall Internet Signups
As colleges and universities are moving into the realm of providing Internet connections to the residence dormitories (ResNet), the local help desk is becoming the focal point for...
John R. Miller, Tom Peterson
BMCBI
2004
125views more  BMCBI 2004»
13 years 6 months ago
A functional hierarchical organization of the protein sequence space
Background: It is a major challenge of computational biology to provide a comprehensive functional classification of all known proteins. Most existing methods seek recurrent patte...
Noam Kaplan, Moriah Friedlich, Menachem Fromer, Mi...
CVPR
2001
IEEE
14 years 8 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
14 years 20 days ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle