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This paper presents a novel affinity propagation (AP) based memetic band selection method (APMA) for hyperspectral imagery classification. The method incorporates AP based local search and genetic algorithm (GA) based global search to take advantage of both. Particularly, the AP based local search fine-tunes the GA individuals by adding relevant bands and eliminating irrelevant/redundant bands. A...
Feature selection has become the focus of many real-world application oriented developments and applied research in recent years. With the rapid advancement of computer and database technologies, problems "with hundreds and thousands of variables or features are now ubiquitous in pattern recognition, data mining, and machine learning [1], [2]. In this article, we consider two real-world feature...
Bayesian network is a knowledge representation formalism that has been proven to be valuable in gene regulatory network reconstruction. However, it is showed that the structure learning of Bayesian networks is an NP-hard problem. Several heuristic searching techniques have been used to find better network structures. Among these algorithms, K2 algorithm has been found to be the most successful. However,...
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