We provide an estimation procedure of the two-parameter Gamma distribution based on the
Algorithmic Inference approach. As a key feature of this approach, we compute the joint …

We revise the notion of confidence with which we estimate the parameters of a given
distribution law in terms of their compatibility with the sample we have observed. This is a …

We introduce a wait-and-chase scheme that models the contact times between moving
agents within a connectionist construct. The idea that elementary processors move within a …

The quoted text is an interesting instance of a fuzzy object: it is currently known in slightly
diversified forms, each rather different from the quoted one, which corresponds to the first …

Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies
Along the Path Traced by Lotfi Zadeh | SpringerLink Skip to main content Advertisement …

We discuss a bridge way of inference between Agnostic Learning and Prior Knowledge
based on an inference goal represented not by the attainment of truth but simply by a …

The typical way of judging about either the efficacy of a new treatment or, on the contrary, the
damage of a pollutant agent is through a test of hypothesis having its ineffectiveness as null …

We extend a procedure based on support vector clustering and devoted to inferring the
membership function of a fuzzy set to the case of a universe of discourse over which several …

We introduce a new concept of nonparametric test for statistically deciding if a model fits a
sample of data well. The employed statistic is the empirical cumulative distribution (ecdf) of …

We devise an SVM for partitioning a sample space affected by random binary labels. In the
hypothesis that a smooth, possibly symmetric, conditional label distribution graduates the …