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Truncated Newton method

Known as: Hessian-free optimization 
Truncated Newton methods, also known as Hessian-free optimization, are a family of optimization algorithms designed for optimizing non-linear… Expand
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Highly Cited
2017
Highly Cited
2017
Full waveform inversion (FWI) is a powerful method for reconstructing subsurface parameters from local measurements of the… Expand
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2015
2015
Recommender systems are an important kind of learning systems, which can be achieved by latent-factor (LF)-based collaborative… Expand
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Highly Cited
2014
Highly Cited
2014
Full Waveform Inversion (FWI) is a powerful tool for quantitative seismic imaging from wide-azimuth seismic data. The method is… Expand
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2013
2013
Full waveform inversion (FWI) is a powerful method for reconstructing subsurface parameters from local measurements of the… Expand
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Highly Cited
2013
Highly Cited
2013
We consider recovery of low-rank matrices from noisy data by hard thresholding of singular values, in which empirical singular… Expand
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Highly Cited
2013
Highly Cited
2013
Deep and recurrent neural networks (DNNs and RNNs respectively) are powerful models that were considered to be almost impossible… Expand
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Highly Cited
2010
Highly Cited
2010
Truncated multipliers compute the n most-significant bits of the n × n bits product. This paper focuses on variable-correction… Expand
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Highly Cited
2000
Highly Cited
2000
This paper considers truncated type-II hybrid automatic repeat-request (ARQ) schemes with noisy feedback over block fading… Expand
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Highly Cited
1996
Highly Cited
1996
We consider the class of multistage dynamic networks with random arc capacities a framework that is well suited to model dynamic… Expand
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Highly Cited
1987
Highly Cited
1987
Techniques from numerical analysis and crystallographic refinement have been combined to produce a variant of the Truncated… Expand
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