Torch is a machine learning library written in C++ that works on most Unix/Linux platforms. It can be used to train MLPs, RBFs, HMMs, Gaussian Mixtures, Kmeans, Mixtures of experts, Parzen Windows, KNN, and can be easily extended so that you can add your own machine learning algorithms. (Source:

References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
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  1. Žbontar, Jure; Lecun, Yann: Stereo matching by training a convolutional neural network to compare image patches (2016)
  2. Mesnil, Grégoire; Bordes, Antoine; Weston, Jason; Chechik, Gal; Bengio, Yoshua: Learning semantic representations of objects and their parts (2014)
  3. Hazrati Fard, Seyed Mehdi; Hamzeh, Ali; Hashemi, Sattar: Using reinforcement learning to find an optimal set of features (2013)
  4. Kovacs, Tim; Egginton, Robert: On the analysis and design of software for reinforcement learning, with a survey of existing systems (2011)
  5. Jin, Xiao-Bo; Liu, Cheng-Lin; Hou, Xinwen: Regularized margin-based conditional log-likelihood loss for prototype learning (2010)
  6. Wu, Kuo-Ping; Wang, Sheng-De: Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space (2009)
  7. Gaudel, Romaric; Sebag, Michèle; Cornuéjols, Antoine: A phase transition-based perspective on multiple instance kernels (2008)
  8. Schlapbach, Andreas; Liwicki, Marcus; Bunke, Horst: A writer identification system for on-line whiteboard data (2008)
  9. Mariéthoz, Johnny; Bengio, Samy: A kernel trick for sequences applied to text-independent speaker verification systems (2007)
  10. Demirdjian, David; Ko, Teresa; Darrell, Trevor: Nudge nudge wink wink: elements of face-to-face conversation for embodied conversational agents (2005)
  11. Langlais, Philippe; Gandrabur, Simona; Leplus, Thomas; Lapalme, Guy: The long-term forecast for weather bulletin translation (2005)
  12. Cardinaux, Fabien; Sanderson, Conrad; Marcel, Sébastien: Comparison of MLP and GMM classifiers for face verification on XM2VTS (2003)