Information theory and inference, often taught separately, are here united in one entertaining
textbook. These topics lie at the heart of many exciting areas of contemporary science and …

Although Bayesian analysis has been in use since Laplace, the Bayesian method of model-
comparison has only recently been developed in depth. In this paper, the Bayesian …

A quantitative and practical Bayesian framework is described for learning of mappings in
feedforward networks. The framework makes possible (1) objective comparisons between …

We study the optical colors of 147,920 galaxies brighter than g*= 21, observed in five bands
by the Sloan Digital Sky Survey (SDSS) over∼ 100 deg 2 of high Galactic latitude sky along …

The Bayesian framework for model comparison and regularisation is demonstrated by
studying interpolation and classification problems modelled with both linear and non-linear …

The importance of hydrologic variability for shaping the biophysical attributes and
functioning of riverine ecosystems is well recognised by ecologists and water resource …

Breast cancer is known as the most common invasive cancer type among women and
automatic breast cancer detection systems are in demand. Thus, various machine learning …

In this paper, on the one hand, we aim to give a review on literature dealing with the problem
of supervised learning aided by additional unlabeled data. On the other hand, being a part …

A limiting factor for the application of IDA methods in many domains is the incompleteness of
data repositories. Many records have fields that are not filled in, especially, when data entry …

This paper is a survey of recent work in the field of web usage mining for the benefitof
research on the personalization of Web-based information services. The essence of …