These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the “principle of minimum change” — updating beliefs as little as possible ...

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

When outputting positive numbers in scientific notation with a long mantissa and negative exponent, the leading digit of the number is incorrectly replaced with a minus sign. For example: The positive ...

A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...

In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...

Ten months after the luxury superyacht Bayesian sank off the coast of Sicily in a sudden storm, salvage crews managed to lift it 50 meters (164 feet) from the seabed on Friday afternoon, the company ...