Novel variable influence on projection (VIP) methods in OPLS, O2PLS, and OnPLS models for single- and multi- block variable selection

Figure 4 shows data from the United States, a country with which most readers will be familiar; Figure 5 depicts Germany, a case with a generally large number of raters and

In each iteration, we choose L potential atoms by the standard matched filter followed by reducing the cardinality of the set of potential atoms through an orthogonal projection

Rotations can be represented in many different ways, such as a rotation matrix using Euler angles [Can96], or as (multiple) pairs of reflections using Clifford algebra [Wil05]

This thesis contributes to statistical methodology for analysing lon- gitudinal twin data by (i) exploring the use of random change point models for modelling variance as a function

1) The total MB-VIOP profile for the total variation of the OnPLS model (i.e., unique + local + global), which identifies the variables that are more important

The main direction of research in this thesis is the development of a variable selection method, based on variable influence on projection (VIP), in order to

How can recurrent neural networks (RNNs) and latent variables de- rived from the data source be utilized together to model click behavior in a web search system effectively..

It is shown that all methods typically gives worse accuracy than a directly applied prediction error method.. The key to this result is that in the direct method all the input