A SOCIAL LEARNING PRIMACY TREND IN MATE-COPYING: AN EXPERIMENT IN DROSOPHILA MELANOGASTER


An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression

Estimation of black-box functions PROMASIL COOKIES often requires evaluating an extensive number of expensive noisy points.Learning algorithms can actively compare the similarity between the evaluated and unevaluated points to determine the most informative subsequent points for efficient estimation of expensive functions in a sequential procedure.

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A Novel Method for Fault Diagnosis of Rotating Machinery

When rotating machinery fails, the consequent vibration signal contains rich fault feature information.However, the vibration signal bears the characteristics of nonlinearity and Top nonstationarity, and is easily disturbed by noise, thus it may be difficult to accurately extract hidden fault features.To extract effective fault features from the co

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