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Bayesian network structure learning based on pigeon inspired optimization
(International Journal of Advanced Trends in Computer Science and Engineering, 2019)
Bayesian networks are useful analytical models for designing the structure of knowledge in machine learning. Probabilistic dependency relationships among the variables can be represented by Bayesian networks. One strategy ...
Health care cost of socioeconomic inequalities: A pioneering population-wide study
(American Journal of Public Health, 2019)
[No abstract available]
Design of an FPGA-based intelligent gateway for industrial IoT
(International Journal of Advanced Trends in Computer Science and Engineering, 2019)
The use of information technologies in the implementation of industry 4.0 applications has naturally attracted the attention of many entrepreneurs and the business community. Industry 4.0 applications enabled cost reduction ...
Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
The self-organizing map (SOM) is a powerful method for manifold learning because of producing a 2-D spatially ordered quantization of a higher dimensional data space on a rigid lattice and adaptively determining optimal ...