Ensemble of Linear Models for Predicting Drug Properties

We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this method is the ability to overcome the problems with constructing ensembles of linear discriminant models based on generalised eignevectors of covariance matrices. Such linear models are popular in building classification

• Type: Journal
• Year: 2006
• Where: JCISD
• Authors: Tomasz Arodz, David A. Yuen, Arkadiusz Z. Dudek
• Keywords: JCISD 2006, Linear Discriminant, Linear Discriminant Analysis, Linear Discriminant Models