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About: A non-iterative learning method for one-layer (no hidden layer) neural networks, where the weights can be calculated in a closed-form manner, thereby avoiding low convergence rate and also hyperparameter tuning. The proposed learning method, LANN-SVD in short, presents a good computational efficiency for large-scale data analytic. Changes:Initial Announcement on mloss.org.
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Projects that are tagged with large scale data analytics.
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- MLOSS workshop at ICML 2015: Open Ecosystems
by Antti Honkela on March 30, 2015
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by Cheng Soon Ong on October 30, 2014
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by Cheng Soon Ong on July 22, 2014
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by Cheng Soon Ong on March 30, 2014
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by Cheng Soon Ong on November 14, 2013
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by Cheng Soon Ong on April 9, 2013
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