Landscape Analysis · Information Processing

Information Processing and Bayesian Analysis

Science involves learning from data. Herein this process of learning or information processing is considered within the context of optimal information processing, as in Zellner (1988, 1991, 1997). Information criterion functionals are formulated and optimized to provide optimal information processing rules, one of which is Bayes’ theorem. By varying the inputs and using alternative side conditi...

Stochastic Fuzzy Discrimination Information Measure Cost Function in Image Processing

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...

Information Markets: A Research Landscape

Hot Spots Analysis of Landscape Metrics and Runoff Landscape Index in Ardabil Province

Hot spots are often associated with places where an abnormal process has occurred. Accordingly, their identification can help experts and managers to scrutinize the state of health and sustainability, from an ecological point of view. The present study was therefore conducted to analyze the spatial autocorrelation and identify hot spots of 11 landscape metrics, the new Runoff Landscape Index (R...

Local Landscape Patterns for Fitness Landscape Analysis

Almost all problems targeted by evolutionary computation are black-box or heavily complex, and their fitness landscapes usually are unknown. Selection of the appropriate search algorithm and parameters is a crucial topic when the landscape of a given target problem could be unknown in advance. Although several landscape features have been proposed in this context, examining a variety of landsca...