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» Is Combining Classifiers Better than Selecting the Best One
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WWW
2005
ACM
15 years 10 months ago
Improving text collection selection with coverage and overlap statistics
In an environment of distributed text collections, the first step in the information retrieval process is to identify which of all available collections are more relevant to a giv...
Thomas Hernandez, Subbarao Kambhampati
NOMS
2010
IEEE
147views Communications» more  NOMS 2010»
14 years 8 months ago
Distributed approaches to S-CSCF selection in an IMS network
—The IP Multimedia Subsystem (IMS) is a generic open-systems architecture offering converged multimedia services over IP. A function in the signaling plane of an IMS network is t...
Plarent Tirana, Deep Medhi
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
14 years 7 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
BMCBI
2008
139views more  BMCBI 2008»
14 years 9 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu