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» Fit data selection for software effort estimation models
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BMCBI
2006
100views more  BMCBI 2006»
13 years 10 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 10 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
TSE
2002
105views more  TSE 2002»
13 years 10 months ago
Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
CASE (Computer Aided Software Engineering) tools are believed to have played a critical role in improving software productivity and quality by assisting tasks in software developme...
Jongmoon Baik, Barry W. Boehm, Bert Steece
PAKM
2008
13 years 11 months ago
Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
Chong Chen, Hongfei Yan, Xiaoming Li
BMCBI
2010
92views more  BMCBI 2010»
13 years 10 months ago
YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast
Background: The budding yeast Saccharomyces cerevisiae is one of the most widely studied model organisms in aging-related science. Although several genetic modifiers of yeast long...
Brady Olsen, Christopher J. Murakami, Matt Kaeberl...