Adding diversity to symbolic search techniques has not been explored in artificial intelligence. Adding a diversity criterion provides us with a powerful new mechanism for finding global maxima in complex search spaces and helps to alleviate the problem of premature convergence to local maxima. A theoretical analysis is presented of issues in diversity searching which previously haven’t been ad...

Abstract The extremal index θ , a measure of the degree of local dependence in the extremes of a stationary process, plays an important role in extreme value analyses. We estimate θ semiparametrically, using the relationship between the distribution of block maxima and the marginal distribution of a process to define a semiparametric model. We show that these semiparametric estimators are simpl...

In this paper we consider imprecise terrains, that is, triangulated terrains with a vertical error interval in the vertices. In particular, we study the problem of removing as many local extrema (minima and maxima) as possible from the terrain. We show that removing only minima or only maxima can be done optimally in O(n log n) time, for a terrain with n vertices. Interestingly, however, removi...

Introduction: Hydatid Disease (HD), a helminth infection with various clinical complications is a serious economic and public health concern around the world. Nowadays, different agents have been broadly applied as scolicids; these agents have several side effects on patients. Therefore, the aims of this experimental study were to evaluate the scolicidal activity of Cucurbita maxima seeds metha...

Petrovskaya and Leontovich (1982) proved a central limit theorem for sums of dependent random variables indexed by a graph. We apply this theorem to obtain asymptotic normality for the number of local maxima of a random function on certain graphs and for the number of edges having the same color at both endpoints in randomly colored graphs. We briefly motivate these problems, and conclude with ...

An object recognition system for industrial inspection that recognizes objects under similarity transformations in real time is proposed. It uses novel similarity measures that are inherently robust against occlusion, clutter, and nonlinear illumination changes. They can be extended to be robust to global as well as local contrast reversals. The matching is performed based on the maxima of the ...

Gaussian mixture models provide a flexible tool for data modeling, clustering and classification. We consider the problem of estimating the parameters of a multivariate Gaussian mixture with K components by maximizing the likelihood function. This approach has a theoretical drawback: the likelihood function is unbounded, and the interesting maxima are local maxima in the interior of the paramet...