Simon Fraser University

Input Variables and Regression with ARMA Errors

To use input series, list the input series in a CROSSCORR= option on the IDENTIFY statement and specify how they enter the model with an INPUT= option on the ESTIMATE statement. For example, you might ...
Simon Fraser University

Using the INPUT Statement

Once you have referenced the data file containing your data with an INFILE statement, you need to tell IML exactly how the data are arranged: the number of variables and their names each variable's ...
Nature

Variable selection with false discovery rate control in deep neural networks

Deep neural networks (DNNs) are a popular machine-learning technique and have shown superior performance in many scientific problems. Despite their high prediction accuracy, DNNs are often criticized ...
Nature

Machine learning: supervised methods

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one such ...