Torch: A Modular Machine Learning Software Library (2002)

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by Ronan Collobert , Samy Bengio , Johnny Marithoz
Citations:92 - 18 self

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Mitsubishi Electric Research Laboratories – Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher - 2002
4 Fast modular network implementation for support vector machines – Guang-Bin Huang, K. Z. Mao, Chee-Kheong Siew, De-Shuang Huang - 2005
56 A Parallel Mixture of SVMs for Very Large Scale Problems – Ronan Collobert, Samy Bengio, Yoshua Bengio - 2002
13 Fast SVM training algorithm with decomposition on very large data sets – Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen - 2005
1 Automatic Recognition of Handwritten Dates on Brazilian Bank Cheques – Marisa Emika Morita - 2003
13 Unsupervised Learning of Models for Object Recognition – Markus Weber - 2000
1 Combining Predictors: Some Old Methods and a New Method – Jakob Vogdrup Hansen - 1998
75 A Statistical Approach to 3D Object Detection Applied to Faces and Cars – Henry Schneiderman - 2000
279 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
4 Margin Error and Generalization Capabilities of Multi-Class Discriminant Systems – André Elisseeff, Yann Guermeur, Yann Guermeur Loria, Hélène Paugam-Moisy - 1999
199 Soft Margins for AdaBoost – Gunnar Rätsch, Takashi Onoda, Klaus-R. Müller - 1998
78 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
2 Gradient-Based Learning for Object Detection, Segmentation and Recognition – Yann Lecun, Patrick Haffner, Yoshua Bengio, Leon Bottou - 1999
5 Object Recognition with Gradient-Based Learning – Yann Lecun, Patrick Haffner, Léon Bottou, Yoshua Bengio - 1999
487 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
2 Active learning with Support Vector Machines – Andreas Vlachos - 2004
79 The analysis of decomposition methods for support vector machines – Chih-jen Lin, Nello Cristianini - 1999
2 Escaping the Convex Hull with Extrapolated Vector Machines – Patrick Haffner