Learning Structure from Data and Its Application to Ozone Prediction

Applied Intelligence

Volumn 7, Issue 4, 1997, Pages 327-338

  Sugar, Luis Enrique ^a,c,d   Pérez Brito, Joaquín ^a,e   Ruiz Suárez, J Carlos ^a,b,f,g   Morales, Eduardo ^a,h,i,j  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

^b DEPARTAMENTO DE FÍSICA APLICADA   (Mexico)

^c STANFORD UNIVERSITY   (United States)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e University of London ^*

^f INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^g UNIVERSITY OF WATERLOO   (Canada)

^h UNIVERSIDAD AUTÓNOMA METROPOLITANA   (Mexico)

ⁱ UNIVERSITY OF EDINBURGH   (United Kingdom)

^j UNIVERSITY OF STRATHCLYDE   (United Kingdom)

more..

Author keywords

Atmospheric pollution; Bayesian networks; Decision trees; Predictive systems; Structure learning

Indexed keywords

AIR POLLUTION; COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; EXPERT SYSTEMS; FORECASTING; NEURAL NETWORKS; OZONE; PARAMETER ESTIMATION;

BAYESIAN NETWORKS; DECISION TREES; PREDICTIVE SYSTEMS;

LEARNING ALGORITHMS;

EID: 0031269722     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008265520889     Document Type: Article

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