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AAAI
1998
13 years 9 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
WABI
2001
Springer
110views Bioinformatics» more  WABI 2001»
14 years 1 days ago
Boosting EM for Radiation Hybrid and Genetic Mapping
Radiation hybrid (RH) mapping is a somatic cell technique that is used for ordering markers along a chromosome and estimating physical distances between them. It nicely complements...
Thomas Schiex, Patrick Chabrier, Martin Bouchez, D...
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen
CP
2006
Springer
13 years 11 months ago
Boosting Open CSPs
In previous work, a new approach called Open CSP (OCSP) was defined as a way of integrate information gathering and problem solving. Instead of collecting all variable values befor...
Santiago Macho González, Carlos Ansó...
INFOCOM
2003
IEEE
14 years 27 days ago
Exploiting Parallelism to Boost Data-Path Rate in High-Speed IP/MPLS Networking
Abstract—Link bundling is a way to increase routing scalability whenever a pair of Label Switching Routers in MPLS are connected by multiple parallel links. However, link bundlin...
Indra Widjaja, Anwar Elwalid