Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# ...
This illustration gives a sense of how characters from alphabets around the world were replicated through human vs. machine learning. (Credit: Danqing Wang) Researchers say they’ve developed an ...
SIAM Journal on Numerical Analysis, Vol. 48, No. 1 (2010), pp. 322-345 (24 pages) Inverse problems are often ill posed, with solutions that depend sensitively on data. In any numerical approach to the ...
Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 40, No. 4 (1991), pp. 365-372 (8 pages) A numerical approach to Bayesian prediction for the two-parameter Weibull ...
A nonparametric Bayesian approach is developed to determine quantum potentials from empirical data for quantum systems at finite temperature. The approach combines the likelihood model of quantum ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
Parameter estimation in differential equation models is a critical endeavour in the mathematical modelling of dynamic systems. Such models, represented by ordinary differential equations (ODEs), ...
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