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» Predicting relative performance of classifiers from samples
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BMCBI
2007
116views more  BMCBI 2007»
13 years 9 months ago
MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
Background: Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures pre...
Huaiqiu Zhu, Gang-Qing Hu, Yi-Fan Yang, Jin Wang, ...
SSPR
2004
Springer
14 years 2 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
BMCBI
2005
84views more  BMCBI 2005»
13 years 9 months ago
Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates
Background: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information ...
Youfang Cao, Lianjie Wang, Kexue Xu, Chunhai Kou, ...
ICPR
2006
IEEE
14 years 10 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
ICSE
2010
IEEE-ACM
14 years 1 months ago
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows
We performed an empirical study to characterize factors that affect which bugs get fixed in Windows Vista and Windows 7, focusing on factors related to bug report edits and relat...
Philip J. Guo, Thomas Zimmermann, Nachiappan Nagap...