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» Measuring independence of datasets
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82
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ICDM
2003
IEEE
109views Data Mining» more  ICDM 2003»
15 years 6 months ago
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
We experimentally evaluate randomization-based approaches to creating an ensemble of decision-tree classifiers. Unlike methods related to boosting, all of the eight approaches co...
Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfi...
68
Voted
BMCBI
2008
71views more  BMCBI 2008»
15 years 29 days ago
Examining the significance of fingerprint-based classifiers
Background: Experimental examinations of biofluids to measure concentrations of proteins or their fragments or metabolites are being explored as a means of early disease detection...
Brian T. Luke, Jack R. Collins
149
Voted
TNN
2010
155views Management» more  TNN 2010»
14 years 7 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
67
Voted
IMAGING
2000
15 years 2 months ago
Evaluation of Bispectral Spectrophotometry for Accurate Colorimetry of Printing Materials
During recent years the need for accurate color measurements has been increasing to achieve proper color management in a number of industries. One of the most wide spread techniqu...
Sergio Gonzalez, Mark D. Fairchild
94
Voted
TIT
2008
89views more  TIT 2008»
15 years 22 days ago
Joint Fixed-Rate Universal Lossy Coding and Identification of Continuous-Alphabet Memoryless Sources
Abstract--The problem of joint universal source coding and density estimation is considered in the setting of fixed-rate lossy coding of continuous-alphabet memoryless sources. For...
Maxim Raginsky