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KBS
2006
150views more  KBS 2006»
15 years 6 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
FGR
2011
IEEE
354views Biometrics» more  FGR 2011»
14 years 10 months ago
Hierarchical ranking of facial attributes
Abstract— We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; l...
Ankur Datta, Rogerio Feris, Daniel A. Vaquero
ICML
1998
IEEE
16 years 7 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
Background: Concerns are often raised about the accuracy of microarray technologies and the degree of cross-platform agreement, but there are yet no methods which can unambiguousl...
Andrew J. Holloway, Alicia Oshlack, Dileepa S. Diy...
SSDBM
2009
IEEE
119views Database» more  SSDBM 2009»
16 years 1 months ago
Identifying the Most Endangered Objects from Spatial Datasets
Abstract. Real-life spatial objects are usually described by their geographic locations (e.g., longitude and latitude), and multiple quality attributes. Conventionally, spatial dat...
Hua Lu, Man Lung Yiu