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 of
Astorino, Annabella   +4 more
openaire   +2 more sources

Navigating the pitfalls of applying machine learning in genomics

Nature Reviews Genetics, 2021
Sean Whalen   +2 more
exaly  

Prospective clinical deployment of machine learning in radiation oncology

Nature Reviews Clinical Oncology, 2021
Issam El Naqa, El Naqa Issam
exaly  

Applications of machine learning in drug discovery and development

Nature Reviews Drug Discovery, 2019
Jessica Vamathevan   +2 more
exaly  

Tracing outbreaks with machine learning

Nature Reviews Microbiology, 2019
Nicole E Wheeler, Wheeler Nicole E
exaly  

Machine learning applications in genetics and genomics

Nature Reviews Genetics, 2015
Maxwell W Libbrecht   +2 more
exaly  

Machine learning and the physical sciences

Reviews of Modern Physics, 2019
Giuseppe Carleo, J I Cirac, K Cranmer
exaly  

Home - About - Disclaimer - Privacy