In mathematics, the gradient is a generalization of the usual concept of derivative to functions of several variables. If f(x1, ..., xn) is a… (More)

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Highly Cited

2009

Highly Cited

2009

- Amir Beck, Marc Teboulle
- IEEE Transactions on Image Processing
- 2009

This paper studies gradient-based schemes for image denoising and deblurring problems based on the discretized total variation… (More)

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Highly Cited

2007

Highly Cited

2007

- Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter
- Math. Program.
- 2007

We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector… (More)

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Highly Cited

2007

Highly Cited

2007

- Chih-Jen Lin
- Neural Computation
- 2007

Nonnegative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. Although bound… (More)

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Highly Cited

2007

Highly Cited

2007

- M. A. T. Figueiredo, R. D. Nowak, S. J. Wright
- IEEE Journal of Selected Topics in Signal…
- 2007

Many problems in signal processing and statistical inference involve finding sparse solutions to under-determined, or ill… (More)

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Highly Cited

2005

Highly Cited

2005

- Christopher J. C. Burges, Tal Shaked, +4 authors Gregory N. Hullender
- ICML
- 2005

We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function… (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

The advent of electronic computers in the middle of the 20th century stimulated a flurry of activity in developing numerical… (More)

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Highly Cited

1999

Highly Cited

1999

Gradient boosting constructs additive regression models by sequentially tting a simple parameterized function (base learner) to… (More)

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Highly Cited

1999

Highly Cited

1999

Function approximation is essential to reinforcement learning, but the standard approach of approximating a value function and… (More)

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Highly Cited

1996

Highly Cited

1996

Generalized gradient approximations (GGA’s) for the exchange-correlation energy improve upon the local spin density (LSD… (More)

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Highly Cited

1991

Highly Cited

1991

- MARTIN FODSLETTE MEILLER
- 1991

-A supervised learning algorithm (Scaled Conjugate Gradient, SCG) is introduced TIw pelformance of SCG is benchmarked against… (More)

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