Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

This is a preview. Log in through your library . Abstract In the present paper a procedure, in two phases is developed for maximizing a linear fractional functionals subject to one quadratic and a ...

Constraint Programming (CP) has been successful in a number of combinatorial search and discrete optimisation problems. Yet other more traditional approaches, such as Integer Programming (IP), can ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to ...

The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia. Julia, a zippy programming ...

Join us for an engaging roundtable of how to combine these insights to inform robust and effective instructional programming to promote equity and help students succeed. Our seasoned educator ...

BioStat.AI is built on the foundation of EDETEK's flagship platforms, CONFORM™ and eClinical, and leverages advanced AI technologies including large language models (LLMs), machine learning, and ...