Machine learning methods extract value from vast data sets quickly and with modest resources.
They are established tools in a wide range of industrial applications, including search …

We consider the problem of assigning an input vector to one of m classes by predicting P(c|x)
for c=1,...,m. For a two-class problem, the probability of class one given x is estimated by /…

'What's going to happen next?'Time series data hold the answers, and Bayesian methods
represent the cutting edge in learning what they have to say. This ambitious book is the first …

A review of attempts which have been made to produce in vivo images of the spatial distribution
of tissue resistivity is given. The collection systems for in vivo images and the methods …

Metallic nanoparticles are among the most widely used types of engineered nanomaterials;
however, little is known about their environmental fate and effects. To assess potential …

Increasing use of metallic nanomaterials is likely to result in release of these particles into
aqueous environments; however, it is unclear if these materials present a hazard to aquatic …

The Lycurgus Cup (Figure 1) is an outstanding example of a late Roman cut glass cage cup.
It is decorated in openwork with a frieze showing scenes of the myth of King Lycurgus. The …

There is growing evidence that micronutrient intake has a significant effect on the toxicity
and carcinogenesis caused by various chemicals. This paper examines the effect of …

THE electrical resistivity of mammalian tissues varies widely 1–5 and is correlated with
physiological function 6–8 . Electrical impedance tomography (EIT) can be used to probe such …

More than a decade has passed since a relationship between community noise exposure
and the prevalence of annoyance was synthesized by Schultz [TJ Schultz, J. Acoust. Soc. Am. …