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Backpropagation Networks

Backpropagation Networks

Backpropagation Networks. Introduction to Backpropagation. - In 1969 a method for learning in multi-layer network, Backpropagation , was invented by Bryson and Ho . - The Backpropagation algorithm is a sensible approach for dividing the contribution of each weight .

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829 views • 56 slides
Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking). David R. Musicant and O.L. Mangasarian NIPS 99 Workshop on Learning With Support Vectors December 3, 1999 http://www.cs.wisc.edu/~musicant. Chunking with 1 billion nonzero elements. Outline. Problem Formulation

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410 views • 26 slides
Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking)

Massive Support Vector Regression (via Row and Column Chunking). David R. Musicant and O.L. Mangasarian NIPS 99 Workshop on Learning With Support Vectors December 3, 1999 http://www.cs.wisc.edu/~musicant. Chunking with 1 billion nonzero elements. Outline. Problem Formulation

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264 views • 26 slides
Lecture 13. MLP (V): Speed Up Learning

Lecture 13. MLP (V): Speed Up Learning

Lecture 13. MLP (V): Speed Up Learning. Outline. Dynamic range control Local minimum avoidance Encoding symbolic features Modular learning. Dynamic Range Control. Saturation of the nonlinear activation function To limit the magnitude of net-function:

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158 views • 15 slides
Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech. Ivan Bulyko, Spyros Matsoukas, Richard Schwartz, Long Nguyen, and John Makhoul. Why need LM adaptation in MT?. Model genre/style variations LM training data sources are not homogeneous

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275 views • 13 slides
Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech. Ivan Bulyko, Spyros Matsoukas, Richard Schwartz, Long Nguyen, and John Makhoul. Why need LM adaptation in MT?. Model genre/style variations LM training data sources are not homogeneous

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321 views • 13 slides

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