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» Learning Weighted Automata

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Tutorial

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Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods

14 years 5 months ago

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Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...

Jeff Heaton

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NIPS
2008

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Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning

13 years 11 months ago

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Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...

Ali Rahimi, Benjamin Recht

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ICDM
2010
IEEE

226views Data Mining» more ICDM 2010»

Edge Weight Regularization over Multiple Graphs for Similarity Learning

13 years 7 months ago

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The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...

Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...

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PKDD
2009
Springer

112views Data Mining» more PKDD 2009»

Max-Margin Weight Learning for Markov Logic Networks

14 years 4 months ago