126 search results - page 1 / 26 » A Feature Selection Method for Air Quality Forecasting |
ICANN
2010
Springer
14 years 8 days ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
KAIS
2008
13 years 11 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
ICDM
2006
IEEE
14 years 5 months ago
2006
IEEE
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
KES
2007
Springer
13 years 11 months ago
2007
Springer
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
AIRS
2008
Springer
14 years 1 months ago
2008
Springer
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...