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10 years of news and resources for members of the IEEE Signal Processing Society
Machine learning, a subfield of computer science, has been widely applied in many areas from science to engineering to many interdisciplinary fields. Nature Reviews Genetics recently published an article that summarized machine learning applications in genetics and genomics, authored by University of Washington researchers Maxwell W. Libbrecht and William Stafford Noble. The topics of interest included supervised versus unsupervised learning, generative versus discriminative modeling, incorporating prior knowledge, handling heterogeneous data, feature selection, imbalanced class sizes, handling missing data, and modelling dependence among examples.
To read the full text of the review paper “Machine Learning Applications in Genetics and Genomics”, please visit http://www.nature.com/nrg/journal/v16/n6/full/nrg3920.html.
|Call for Officer Nominations: Vice President-Membership and Vice President-Education||19 July 2019|
|Call for Nominations: Fellow Evaluation Committee - Chair and Vice Chair Positions||31 July 2019|
|Call for Nominations for Editor-in-Chief: IEEE Open Journal of Signal Processing||1 August 2019|
|Nominations Open for 2019 SPS Awards||1 September 2019|
|Call for Nominations: Technical Committee Vice Chair and Member Positions||15 September 2019|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2019|
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