Torch: A Modular Machine Learning Software Library (2002)

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by Ronan Collobert , Samy Bengio , Johnny Marithoz
Citations:109 - 21 self

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8 Fast modular network implementation for support vector machines – Guang-Bin Huang, K. Z. Mao, Chee-Kheong Siew, De-Shuang Huang - 2005
78 A Parallel Mixture of SVMs for Very Large Scale Problems – Ronan Collobert, Samy Bengio, Yoshua Bengio - 2002
20 Fast SVM training algorithm with decomposition on very large data sets – Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen - 2005
ACKNOWLEDGEMENTS – Et Des Mathematiques, Spécialité Automatique, Abdul Rahim Ahmad, Ogier Professeur, Universite De La Rochelle, Chee Peng Lim, Universiti Sains Malaysia, Examinateurs Sheikh, Hussain Shaikh, Salleh Professeur, Universiti Teknologi Malaysia, Patrick Le Callet, Universite De Nantes, Marzuki Khalid, Christian Viard-gaudi N, Universite De Nantes - 2009
Production Services: Newgen Publishing and Data Services – Gary Bradski, Adrian Kaehler, Cover Designer, Karen Montgomery, Interior Designer, David Futato, Illustrator Robert Romano - 2008
1 Automatic Recognition of Handwritten Dates on Brazilian Bank Cheques – Marisa Emika Morita - 2003
28 Unsupervised Learning of Models for Object Recognition – Markus Weber - 2000
1 Combining Predictors: Some Old Methods and a New Method – Jakob Vogdrup Hansen - 1998
84 A Statistical Approach to 3D Object Detection Applied to Faces and Cars – Henry Schneiderman - 2000
377 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
5 Margin Error and Generalization Capabilities of Multi-Class Discriminant Systems – André Elisseeff, Yann Guermeur , Hélène Paugam-Moisy - 2001
111 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
256 Soft Margins for AdaBoost – Gunnar Rätsch, Takashi Onoda, Klaus-R. Müller - 1998
2 Gradient-Based Learning for Object Detection, Segmentation and Recognition – Yann Lecun, Patrick Haffner, Yoshua Bengio, Leon Bottou - 1999
9 Object Recognition with Gradient-Based Learning – Yann Lecun, Patrick Haffner, Léon Bottou, Yoshua Bengio - 1999
742 Gradient-based learning applied to document recognition – Yann Lecun, Léon Bottou, Yoshua Bengio, Patrick Haffner - 1998
Time Series Modeling with Hidden Variables and Gradient-Based Algorithms – Piotr Mirowski, Yann Lecun, Piotr Mirowski - 2011
Acknowledgements – Jason Tyler Rolfe, Jason Tyler Rolfe, Rodney Douglas, Yann Lecun, Pietro Perona, Thanos Siapas, Pietro Perona, Erik Winfree, Rodney Douglas, Richard Hahnloser, Florian Jug, Christoph Krautz, Yann Lecun - 2012
4 Active learning with Support Vector Machines – Andreas Vlachos - 2004