mirror of https://github.com/tLDP/LDP
cleaned up Torch project entries
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@ -874,42 +874,6 @@ United States.
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offer you the right functionality.
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<label id="Torch">
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<tag/Torch/
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<itemize>
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<item>Web site: <htmlurl
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url="http://www.torch.ch/"
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name="www.torch.ch">
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<item>Successor: <ref id="Torch5">
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</itemize>
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Torch is a machine-learning library, written in C++. Its aim is to
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provide the state-of-the-art of the best algorithms. It is, and it
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will be, in development forever.
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<itemize>
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<item>Many gradient-based methods, including multi-layered
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perceptrons, radial basis functions, and mixtures of experts. Many
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small "modules" (Linear module, Tanh module, SoftMax module, ...)
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can be plugged together.
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<item>Support Vector Machine, for classification and regression.
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<item>Distribution package, includes Kmeans, Gaussian Mixture
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Models, Hidden Markov Models, and Bayes Classifier, and classes for
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speech recognition with embedded training.
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<item>Ensemble models such as Bagging and Adaboost.
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<item>Non-parametric models such as K-nearest-neighbors, Parzen
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Regression and Parzen Density Estimator.
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<item>
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</itemize>
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Torch is an open library whose authors encourage everybody to develop
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new packages to be included in future versions on the official website.
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</descrip>
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@ -5470,19 +5434,19 @@ name="www.csee.umbc.edu/tkqml/">
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principles.
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<label id="Torch5">
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<tag/Torch5/
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<label id="Torch">
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<tag/Torch/
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<itemize>
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<item>Web site: <htmlurl
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url="http://torch5.sourceforge.net/">
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<item>Web site: <htmlurl url="http://www.torch.ch/">
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<item>Old versions:
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<htmlurl url="http://torch5.sourceforge.net/" name="Torch5">
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<htmlurl url="http://www.torch.ch/torch3/" name="Torch3">
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</itemize>
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Torch5 provides a matlab-like environment for state-of-the-art machine
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Torch provides a Matlab-like environment for state-of-the-art machine
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learning algorithms. It is easy to use and provides a very efficient
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implementation, thanks to a easy and fast scripting language (Lua) and
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a underlying C++ implementation. It is distributed under a BSD license.
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This is the successor to the <ref id="Torch" name="Torch3"> project.
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implementation, thanks to an easy and fast scripting language (Lua) and
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a underlying C implementation.
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<label id="Vowpal Wabbit">
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@ -5497,7 +5461,7 @@ name="www.csee.umbc.edu/tkqml/">
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<itemize>
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<item>flexible input data specification
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<item>speedy learning
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<item>scalability (bounded memory footprint, suitable for
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<item>scalability (bounded memory footprint, suitable for
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distributed computation)
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<item>feature pairing
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</itemize>
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