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Big data, machine learning y data science en Python /

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Big data, machine learning y data science en Python /

Ortega Candel, José Manuel · Ra-Ma · 2023 · ISBN 9788419444592

Materie / parole chiave: Python (Computer program language); Data structures (Computer science); Computer algorithms

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Learning to Forget: Continual Prediction with LSTM

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Learning to Forget: Continual Prediction with LSTM

Felix A. Gers; Jürgen Schmidhuber; Fred Cummins · Neural Computation · 2000

Long short-term memory (LSTM; Hochreiter & Schmidhuber, 1997) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). We identify a weakness of LSTM networks processing...

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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

Jerome H. Friedman; Trevor Hastie; Robert Tibshirani · The Annals of Statistics · 2000

Boosting is one of the most important recent developments in classification methodology. Boosting works by sequentially applying a classification algorithm to reweighted versions of the training data and then taking a we...

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