Molecular function recognition by supervised projection pursuit machine learning

Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity

Acknowledgements I am most grateful to Professor K.-R.Müller for having provided me the opportunity, not only to gain research experience in his IDA/Machine Learning Laboratory but in addition for employing me to do so. Without his assistance I would not have been able to complete my degree at the BCCN and continue to the PhD level in a dignified manner. I have greatly appreciated having been t...

Projection Pursuit for Exploratory Supervised Classification

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index. Very few projection pursuit indices incorporate class or group inform...

Feature Extraction with Supervised Projection Pursuit

Implementing projection pursuit learning

This paper examines the implementation of projection pursuit regression (PPR) in the context of machine learning and neural networks. We propose a parametric PPR with direct training which achieves improved training speed and accuracy when compared with nonparametric PPR. Analysis and simulations are done for heuristics to choose good initial projection directions. A comparison of a projection ...

Medical Image Classification by Supervised Machine Learning

In this paper, Support Vector Machine (SVM) was used to learn image feature characteristics for image classification. Several image visual features describe the shape, edge, and texture of image (including histogram, spatial layout, coherence moment and gabor features) have been employed in this paper to categorize the 500 test images into 46 classes. The result shows that the spatial relations...