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Marco Scutari
Bayesian networks (BNs) are a foundational model in machine learning and causal inference. Their graphical structure can handle high-dimensional problems, divide them into a sparse collection of smaller ones, underlies Judea Pearl?s causality, and determ...
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Adriana Olteanu, Alexandra Cernian and Sebastian-Augustin Gâga
Social media platforms make a significant contribution to modeling and influencing people?s opinions and decisions, including political views and orientation. Analyzing social media content can reveal trends and key triggers that will influence society. ...
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Alin Viorel Istodor, Laura-Cristina Rusu, Gratiela Georgiana Noja, Alexandra Roi, Ciprian Roi, Emanuel Bratu, Georgiana Moise, Maria Puiu, Simona Sorina Farcas and Nicoleta Ioana Andreescu
Examining specific patterns of major cranio-facial alterations through cephalometric measurements in order to improve the Prader?Willi (PWS) syndrome diagnostic poses a major challenge of identifying interlinkages between numerous credentials. These inte...
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Md Ashraful Alam, Craig Farnham and Kazuo Emura
In this study, Gaussian/normal distributions (N) and mixtures of two normal (N2), three normal (N3), four normal (N4), or five normal (N5) distributions were applied to data with extreme values for precipitation for 35 weather stations in Bangladesh. For...
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