Results 281 to 290 of about 69,679 (307)
Some of the next articles are maybe not open access.
DC Optimization in Adversarial Sparse Support Vector Machine
In supervised classification models, such as Support Vector Machine, the main purpose is to predict the class membership of the incoming samples. In some real applications malicious inputs are inserted to mislead a vulnerable classifier, leading to a wrong prediction. In our work we focus first on the problem of introducing the smallest perturbation ofAstorino, Annabella +4 more
openaire +2 more sources
Navigating the pitfalls of applying machine learning in genomics
Nature Reviews Genetics, 2021Sean Whalen +2 more
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Prospective clinical deployment of machine learning in radiation oncology
Nature Reviews Clinical Oncology, 2021Issam El Naqa, El Naqa Issam
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Applications of machine learning in drug discovery and development
Nature Reviews Drug Discovery, 2019Jessica Vamathevan +2 more
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Tracing outbreaks with machine learning
Nature Reviews Microbiology, 2019Nicole E Wheeler, Wheeler Nicole E
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Machine learning applications in genetics and genomics
Nature Reviews Genetics, 2015Maxwell W Libbrecht +2 more
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Machine learning and the physical sciences
Reviews of Modern Physics, 2019Giuseppe Carleo, J I Cirac, K Cranmer
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