A binary decision tree classifier implementing logistic regression as a feature selection and classification method and its comparison with maximum likelihood

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2007, Pages 1755-1758

  Bittencourt, Hélio Radke ^a   De Oliveira Moraes, Denis Altieri ^b   Haertel, Victor ^c  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b FEDERAL UNIVERSITY OF SANTA MARIA   (Brazil)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

AVIRIS sensor; Decision trees; Feature selection; High dimensional data; Logistic regression; Pattern recognition

Indexed keywords

GAUSSIAN MAXIMUM LIKELIHOOD (GML); LOGISTIC REGRESSION (LR);

CLASSIFICATION (OF INFORMATION); DECISION TREES; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION;

REGRESSION ANALYSIS;

EID: 82355188304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423159     Document Type: Conference Paper

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