Titlebook: Data Mining Applications Using Artificial Adaptive Systems; William J. Tastle Book 2013 Springer Science+Business Media New York 2013 Data

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爭(zhēng)議的蘋果

Collaborative Economy and Tourismon of Learning Evolution (GUACAMOLE). This system is based on the competition among a certain number of Auto-Associative ANNs (local experts), which, in the context of pattern recognition tasks, develop a specialized knowledge of a certain, specific class, and are subsequently selected by the system

Stress-Fracture

Roberto Baldoni,Gregory Chocklerng Theory (TWT).TDM is an algorithm able to reconstruct the global causation process of diffusion in space and time with a bottom-up data driven approach, while TWT is an algorithm based on twisting theory and able to trace trajectories of any unmapped entity belonging to the same diffusion space as

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氣候

Marco Antonio Pereira Querol,Laura Sepp?nenearning Quantization (AVQ) and Meta-Consensus, two new supervised ANNs, experts in rapid classification and not sensitive to over fitting. After optimization of the distribution of cases among the training and testing sets the following results are achieved: sensitivity (recognition of malignant nod

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Collaborative Economy and Tourismat this particular type of unsupervised learning can provide the basis for a new paradigm where unsupervised learning is taken as the natural reference and in which contexts where supervised learning was commonly believed to be the reference option.

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Data Mining Applications Using Artificial Adaptive Systems

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Data Mining Applications Using Artificial Adaptive Systems978-1-4614-4223-3