Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: Many practical problems emphasize the importance of not only knowing whether an element is selected but also deciding to what extent it is selected, which imposes a challenge on submodule ...
Abstract: Estimating the reliability of electronic devices involves identification of failure mechanisms and prediction of lifetimes. For parameter estimation and failure mode identification in ...
In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found ...
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🎉 I’m delighted to share that our article, “Rate Maximization for the HAPS-Assisted Cell-Free Massive MIMO Networks,” has been published in IEEE Transactions on Wireless Communications. This work is ...
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