pfeg is an educational charity and our mission is to make sure that all young people leaving school have the confidence, skills and knowledge in financial matters to take part fully in society. pfeg offers a range of advice and resources suitable for pupils of all ability levels, as well as reflecting different social, economic and cultural backgrounds. pfeg supports UK teachers working with children and young people aged 4 to 19.
Z. Long, Y. Lu, and B. Dong. (2018)cite arxiv:1812.04426Comment: 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668.
L. Biggio, T. Bendinelli, A. Neitz, A. Lucchi, and G. Parascandolo. Proceedings of the 38th International Conference on Machine Learning, volume 139 of Proceedings of Machine Learning Research, page 936--945. PMLR, (18--24 Jul 2021)
L. Biggio, T. Bendinelli, A. Neitz, A. Lucchi, and G. Parascandolo. Proceedings of the 38th International Conference on Machine Learning, volume 139 of Proceedings of Machine Learning Research, page 936--945. PMLR, (18--24 Jul 2021)
F. Ciaglia, F. Di Cosmo, M. Laudato, and G. Marmo. (2017)cite arxiv:1705.02974Comment: 42 pages, 6 figures, accepted for publication in International Journal of Geometric Methods in Modern Physics.