Input variable selection: mutual information and linear mixing measures
نویسندگان
چکیده
منابع مشابه
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
In this paper we have presented an IntegratedWavelet Neural Network (WNN) model and Mutual Information (MI)-based input selection algorithm for time series prediction. Based on MI the proper input variables, which describe the time series’ dynamics properly, will be selected. The WNN Prediction model uses selected variables and predicts the future. This model utilized for time series prediction...
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Mutual information is a good indicator of relevance between variables, and have been used as a measure in several feature selection algorithms. However, calculating the mutual information is difficult, and the performance of a feature selection algorithm depends on the accuracy of the mutual information. In this paper, we propose a new method of calculating mutual information between input and ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2006
ISSN: 1041-4347
DOI: 10.1109/tkde.2006.11