A principled evaluation of ensembles of learning machines for software effort estimation

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages

  Minku, Leandro L ^a   Yao, Xin ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Ensembles of learning machines; Machine learning; Software cost effort estimation

Indexed keywords

DATA SETS; DIVERSITY METHOD; ENSEMBLE METHODS; FEATURE WEIGHT; GAIN INSIGHT; LEARNING MACHINES; MACHINE-LEARNING; REGRESSION TREES; SELFTUNING; SOFTWARE COST/EFFORT ESTIMATION; SOFTWARE EFFORT ESTIMATION; SOFTWARE MANAGEMENT;

ESTIMATION; EXPERIMENTS; PATTERN RECOGNITION SYSTEMS; PLANT EXTRACTS; PREDICTIVE CONTROL SYSTEMS; RISK ANALYSIS; RISK ASSESSMENT; SOFTWARE ENGINEERING;

LEARNING SYSTEMS;

EID: 80054057515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020390.2020399     Document Type: Conference Paper

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