Search Results for author: Marc G. Chevrette

Found 2 papers, 2 papers with code

A Graphical Model for Fusing Diverse Microbiome Data

1 code implementation • 21 Aug 2022 • Mehmet Aktukmak, Haonan Zhu, Marc G. Chevrette, Julia Nepper, Shruthi Magesh, Jo Handelsman, Alfred Hero

We present a computationally scalable variational Expectation-Maximization (EM) algorithm for inferring the latent variables and the parameters of the model.

Dimensionality Reduction

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Ten Quick Tips for Deep Learning in Biology

1 code implementation • 29 May 2021 • Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr, Simina M. Boca

In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling.

BIG-bench Machine Learning

227

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