When the student began talking about his full stack development background, the officer interrupted: "Why MS? Don’t give a ...

Abstract: An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

To mitigate the issue, we propose a pseudo-label (PL) generation method named consistent learning of sparse background feature (CLSBF). This approach models the generation of IST PLs as a domain ...

Jefferson Lab scientists have wrapped up three research projects that demonstrate ways in which artificial intelligence (AI) and machine learning (ML) could be used to make SRF particle ...

the gray and white matter images of 30 individuals diagnosed with OCPD (73% female, mean age=29.300), and 34 non-OCPD controls (82% female, mean age = 25.599) were analyzed for the first time with a ...

"Azure Machine Learning lowers the barrier to entry even further by enabling even those without a data science background to build and deploy predictive models." Eric D. Boyd, Founder and CEO of ...