@inproceedings{RPROP93, author = {Riedmiller, Martin and Braun, Heinrich}, title = {A direct adaptive method for faster backpropagation learning: The RPROP algorithm}, booktitle = {Neural Networks, 1993., IEEE International Conference on}, year = {1993}, pages = {586--591}, publisher = {IEEE} } @article{Kirkpatrick83, author = {Kirkpatrick, S. and Gelatt, C. D. Jr and Vecchi, M. P.}, title = {Optimization by Simulated Annealing}, year = {1983}, pages = {671--680}, journal = {Science}, volume = {220}, number = {4598}, publisher = {American Association for the Advancement of Science}, url = {http://sci2s.ugr.es/sites/default/files/files/Teaching/GraduatesCourses/Metaheuristicas/Bibliography/1983-Science-Kirkpatrick-sim_anneal.pdf} } @incollection{bottou2010large, title = {Large-scale machine learning with stochastic gradient descent}, author = {Bottou, L{\'e}on}, booktitle = {Proceedings of COMPSTAT'2010}, pages = {177--186}, year = {2010}, publisher = {Springer} } @article{LibSVM, author = {Chang, Chih-Chung and Lin, Chih-Jen}, title = {LIBSVM: a library for support vector machines}, year = {2011}, pages = {27}, journal = {ACM Transactions on Intelligent Systems and Technology (TIST)}, volume = {2}, number = {3}, publisher = {ACM} } @book{Breiman84, title = {Classification and regression trees}, author = {Breiman, Leo and Friedman, Jerome and Stone, Charles J and Olshen, Richard A}, year = {1984}, publisher = {CRC press}, url = {https://projecteuclid.org/download/pdf_1/euclid.aos/1016218223} } @article{HTF01, author = {Trevor, Hastie and Robert, Tibshirani and Jerome, Friedman}, title = {The elements of statistical learning: data mining, inference and prediction}, year = {2001}, pages = {371--406}, journal = {New York: Springer-Verlag}, volume = {1}, number = {8}, url = {http://www.stat.auckland.ac.nz/~yee/784/files/ch09AdditiveModelsTrees.pdf} } @article{FHT98, author = {Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert}, title = {Additive Logistic Regression: a Statistical View of Boosting}, year = {1998}, url = {https://projecteuclid.org/download/pdf_1/euclid.aos/1016218223} }