![Computational sample complexity and attribute-efficient learning | Proceedings of the thirty-first annual ACM symposium on Theory of Computing Computational sample complexity and attribute-efficient learning | Proceedings of the thirty-first annual ACM symposium on Theory of Computing](https://dl.acm.org/cms/asset/ea71385d-bb7e-474f-bedb-cff2e622f0b7/301250.301437.fp.png)
Computational sample complexity and attribute-efficient learning | Proceedings of the thirty-first annual ACM symposium on Theory of Computing
![Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41524-019-0221-0/MediaObjects/41524_2019_221_Fig1_HTML.png)
Recent advances and applications of machine learning in solid-state materials science | npj Computational Materials
![Computational learning theory | Pattern recognition and machine learning | Cambridge University Press Computational learning theory | Pattern recognition and machine learning | Cambridge University Press](http://assets.cambridge.org/97805214/16030/cover/9780521416030.gif)