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» Testing homogeneity of a large data set by bootstrapping
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DATE
2008
IEEE
226views Hardware» more  DATE 2008»
15 years 6 months ago
A General Method to Evaluate RF BIST Techniques Based on Non-parametric Density Estimation
Abstract— We present a general method to evaluate RF BuiltIn Self-Test (BIST) techniques during the design stage. In particular, the adaptive kernel estimator is used to construc...
Haralampos-G. D. Stratigopoulos, Jeanne Tongbong, ...
ICML
2005
IEEE
16 years 19 days ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
JCB
2000
137views more  JCB 2000»
14 years 11 months ago
NOTUNG: A Program for Dating Gene Duplications and Optimizing Gene Family Trees
Large scale gene duplication is a major force driving the evolution of genetic functional innovation. Whole genome duplications are widely believed to have played an important rol...
Kevin Chen, Dannie Durand, Martin Farach-Colton
ACST
2006
15 years 1 months ago
Distributed hierarchical document clustering
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 27 days ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...