Univariate and multivariate linear regression methods to predict interval-valued features

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3339, Issue , 2004, Pages 526-537

  Lima Neto, Eufrasio De A ^a   De Carvalho, Francisco A T ^a   Tenorio, Camilo P ^a  

^a UPPE   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; DATABASE SYSTEMS; FEATURE EXTRACTION; LEARNING SYSTEMS; MONTE CARLO METHODS;

DATA VECTOR; DATA-SETS; LINEAR REGRESSION; VARIABLES;

REGRESSION ANALYSIS;

EID: 22944445790     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. Billard, L., Diday, E.: Symbolic Regression Analysis. Classification, Clustering and Data Analysis: Proceedings of the Eighenth Conference of the International Federation of Classification Societies, IFCS-2002, Crakow (Poland), Jajuga, K. et al. Eds, Vol. 1 (2002), Springer, 281-288
4. Billard, L., Diday, E.: From the Statistics of Data to the Statistics of Knowledge: Symbolic Data Analysis. Journal of the American Statistical Association, Vol. 98 (2003) 470-487
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7. Scheffé, H.: The Analysis of Variance. John Wiley, New York, (1959)