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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
BMCBI
2008
218views more  BMCBI 2008»
13 years 8 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
COLT
2008
Springer
13 years 10 months ago
Adaptive Hausdorff Estimation of Density Level Sets
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
Aarti Singh, Robert Nowak, Clayton Scott
IWNAS
2008
IEEE
14 years 3 months ago
Adaptive Consistency Guarantees for Large-Scale Replicated Services
To maintain consistency, designers of replicated services have traditionally been forced to choose from either strong consistency guarantees or none at all. Realizing that a conti...
Yijun Lu, Ying Lu, Hong Jiang
WORDS
2002
IEEE
14 years 1 months ago
An Adaptive Distributed System Based on Conditional Dependencies
Distributed programming is applicable in a wide range of domains such as control systems. These systems are subject to mutable environments and must also provide a time varying ad...
Luci Pirmez, Luiz F. Rust da Costa Carmo, Reinaldo...