Adaptive Approach for a Maximum Entropy Algorithm in Ecological Niche Modeling

A precise bare simulation approach to the minimization of some distances. Foundations

“…Some further exemplary studies and applications of the maximization of E Sh (Q) -aside from the vast physics literature -appear e.g. in De Santis et al [106] for cryptanalytic guessing problems for breaking ciphertexts with probabilistic brute-force attacks, Johansson & Sternad [173] for tackling certain resource allocation problems under uncertainty, Marano & Franceschetti [246] for ray propagation in percolating lattices, Miao et al [260] for unsupervised mixed-pixel decomposition in image processing, Rodrigues et al [310] for modelling biological species geographic distribution, Xiong et al [400] for capturing desirable phrasal and hierarchical segmentations within a statistical machine translation context, Chan et al [76] for alignment-free DNA sequence comparison, Mann & Garnett [244] for capturing some collective behaviours of intelligent agents in social interactions, Singh et al [336] for the study of finite buffer queueing systems, Baddeley [27] for geoscientifical prediction of the occurrence of mineral deposits on regional scales, Einicke et al [118] for feature selection within change classification during running, and Han et al [152] for substructure imaging of blood cells by means of maximum entropy tomography (MET). 72)) with y ∈ R: the entropy…”

Cooperating Adaptive Devices Applied in General Game Playing

“…In [12], the use of adaptive technology is presented as an alternative approach for modeling biological species while in [13] we have the adaptive version of the GARP (Genetic Algorithm for Rule-set Production) algorithm for mapping the environmental distribution of the "Penonapis" and "Cucurbita".…”