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Statistical Machine Learning and Computational Biology

2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007
Statistical machine learning is a field that combines algorithmic ideas with foundational concepts from probability and statistics. This combination makes statistical machine learning an essential tool for computational biology, in part because probabilistic notions are inherent in biology (arising, e.g., via thermodynamics, recombination and germline ...
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Machine and Statistical Learning

2017
Databases and big data are used for constructing models to have a better understanding of the data, or to make decisions. Machine and statistical learning offer tools for this purpose. In this chapter we review some of the methods in these areas that are of relevance in this book.
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Statistical machine learning

2019
AbstractThis chapter describes in detail how the main techniques of statistical machine learning can be constructed from the components described in earlier chapters. It presents these concepts in a way which demonstrates how these techniques can be viewed as special cases of a more general probabilistic model which we fit to some data.
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Statistical Machine Learning

2023
Torres Torriti, Miguel, Calderara Cea, Felipe Antonio   +1 more
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Statistical thinking, machine learning

Journal of Clinical Epidemiology, 2019
Jiang, Bian, Iain, Buchan, Yi, Guo, Mattia, Prosperi   +3 more
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Machine Learning in Applied Statistics

Model Assisted Statistics and Applications, 2017
Stan Lipovetsky, Jong-Min Kim
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Statistics meets Machine Learning

2020
Workshop ...
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Statistical (Machine) Learning

2022
Andrew F. Siegel, Michael R. Wagner
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Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Andrew Maltez Thomas, Nicola Segata, Andrea Passerini   +2 more
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Machine learning technology in biodiesel research: A review

Progress in Energy and Combustion Science, 2021
Wanxi Peng, Meisam Tabatabaei, Salman Soltanian   +2 more
exaly