Cost-sensitive boosting: Fitting an additive asymmetric logistic regression model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5828 LNAI, Issue , 2009, Pages 234-247

  Li, Qiu Jie ^a   Mao, Yao Bin ^a   Wang, Zhi Quan ^a   Xiang, Wen Bo ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Boosting; Cost Sensitive Boosting; Logistic Regression

Indexed keywords

ADABOOST; BOOSTING ALGORITHM; CONVENTIONAL MACHINES; COST-SENSITIVE; COST-SENSITIVE CLASSIFICATION; EMPIRICAL RESULTS; FACE DETECTION; GENTLE ADABOOST; LEARNING FRAMEWORKS; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; LOGITBOOST; MISCLASSIFICATION COSTS; MISCLASSIFICATION ERROR; OBJECT DETECTION; ORIGINAL ALGORITHMS;

ADAPTIVE BOOSTING; COSTS; EDUCATION; HEURISTIC ALGORITHMS; LOGISTICS; REGRESSION ANALYSIS; ROBOT LEARNING;

COST BENEFIT ANALYSIS;

EID: 70549086990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05224-8_19     Document Type: Conference Paper

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