This work proposes two approaches to improve the poolbased active learning strategy ’Multi-Class Probabilistic Active Learning ’ (McPAL) by using two kernel functions based on Gaussian mixture models (GMMs). One uses the kernels for the instance selection of the McPAL strategy, the second employs them in the classification step. The results of the evaluation show that using a different classifi...

Precipitation forecast verification is essential to the quality of a forecast. The Gaussian Mixture Model can be used to approximate the precipitation of several rain bands and provide a concise view of the data, which is especially useful for comparing forecast and observation data. The robustness of such comparison mainly depends on the consistency of and the correspondence between the extrac...

Modelling covariance structure in the analysis of repeated measures data, Statist. Med. A new class of multivariate skew distributions with applications to Bayesian regression models, The Canadion Journal of Analysis for the Student-t regression model.

Change detection is an important part of image interpretation and automated geographical data collection. In this paper we show a reduced rank regression mixture model for the verification of image changes detected by a human operator. Maximum likelihood estimators are used to learn the operator behaviour. Then, the operator uses the trained system to validate the image changes found. Computati...

Sometimes a larger dataset needs to be reduced to just a few points, and it is desirable that these points be representative of the whole dataset. If the future uses of these points are not fully specified in advance, standard decision-theoretic approaches will not work. We present here methodology for choosing a small representative sample based on a mixture modeling approach.

This paper describes a Bayesian technique for distinguishing melody notes from grace notes in a recorded performance. A mixture model is used to describe probabilities of note durations, and a graphical model relates contextual information (the pitches of three successive notes). Practical examples based on MIDIencoded bagpipe performances are given.