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ECML
2007
Springer
15 years 4 months ago
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
Averaged One-Dependence Estimators (AODE) classifies by uniformly aggregating all qualified one-dependence estimators (ODEs). Its capacity to significantly improve naive Bayes...
Fei Zheng, Geoffrey I. Webb
TSE
2008
129views more  TSE 2008»
14 years 10 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
BMCBI
2007
128views more  BMCBI 2007»
14 years 10 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 1 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
ICPR
2010
IEEE
14 years 8 months ago
Speech Emotion Classification and Public Speaking Skill Assessment
Abstract. This paper presents a new classification algorithm for realtime inference of emotions from the non-verbal features of speech. It identifies simultaneously occurring emoti...
Tomas Pfister, Peter Robinson