The idea of performing model combination, instead of model selection, has a long
theoretical background in statistics. However, making use of theoretical results is ordinarily …

In the context of discriminant analysis, Vapnik's statistical learning theory has mainly been
developed in three directions: the computation of dichotomies with binary-valued functions …

Within many domains, among which biological and cognitive areas, multiple interacting
processes occur among agents with dynamics that are hard to handle. Current approaches …

Winter survival develops efficient tolerance mechanisms in plants by regulating cold-
responsive and cold-regulated genes at the transcriptional level. Hence, an insight into the …

In many fields of science, computer science in particular, automatic learning from examples
is a long-standing goal. Also, in recent years the amount of information that has to be …

This paper presents a new combination scheme for reducing the number of focal elements
to manipulate in order to reduce the complexity of the combination process in the multi-class …

La reconnaissance automatique de la parole suscite actuellement un grand intérêt. En
particulier, la détection de mots clés qui constitue une branche importante de l'interaction …

We discuss the implications of finite size effects on the determination of the order of a phase
transition which may occur in infinite systems. We introduce a specific model to which we …

Vapnik's statistical learning theory has mainly been developed for two types of problems:
pattern recognition (computation of dichotomies) and regression (estimation of real‐valued …

The theory and practice of discriminant analysis have been mainly developed for two-class
problems (computation of dichotomies). This phenomenon can easily be explained, since …