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Gradient descent
Known as:
Descent
, Gradient descent optimization
, Gradient descent method
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Gradient descent is a first-order iterative optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps…
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Related topics
Related topics
50 relations
AdaBoost
Backpropagation
Boltzmann machine
Conditional random field
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Precoding Methods for MISO Broadcast Channel with Delayed CSIT
Xinping Yi
,
D. Gesbert
arXiv.org
2012
Corpus ID: 14277996
Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state…
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2009
2009
Covariant Policy Search
W. Liu
,
Sanjiang Li
,
Jochen Renz
International Joint Conference on Artificial…
2009
Corpus ID: 117131270
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting the requirements of…
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2005
2005
A New Convergence Proof of Fuzzy c-Means
L. Gröll
,
J. Jäkel
IEEE transactions on fuzzy systems
2005
Corpus ID: 40602342
2004
2004
Dispatching of an Electric Monorail System: Applying Metaheuristics to an Online Pickup and Delivery Problem
K. Gutenschwager
,
Christian Niklaus
,
S. Voss
Transportation Science
2004
Corpus ID: 13534770
In this article we present a new solution approach for a specific online pickup and delivery problem as it occurs in a real-world…
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1994
1994
Off-line Cursive Handwriting Recognition using Recurrent Neural Networks
1994
Corpus ID: 261433250
1991
1991
A look-ahead variant of the Lanczos algorithm and its application to the quasi-minimal residual method for non-Hermitian linear systems. Ph.D. Thesis - Massachusetts Inst. of Technology, Aug. 1991
N. Nachtigal
1991
Corpus ID: 117064499
The Lanczos algorithm can be used both for eigenvalue problems and to solve linear systems. However, when applied to non…
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Highly Cited
1985
Highly Cited
1985
Fast algorithms for lpdeconvolution
R. Yarlagadda
,
J. Bednar
,
T. Watt
IEEE Transactions on Acoustics Speech and Signal…
1985
Corpus ID: 39702532
This paper discusses two algorithms for l_{p}, 1 \leq p \leq 2 , deconvolution. One, iterative reweighted least squares (IRLS…
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1985
1985
Sensitivity of liquid‐state inherent structure to details of intermolecular forces
F. Stillinger
,
R. LaViolette
1985
Corpus ID: 56411785
Temperature dependence of short‐range order has been systematically studied in two model atomic liquids, using molecular dynamics…
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Highly Cited
1980
Highly Cited
1980
Motion-compensated coding: Some new results
A. Netravali
,
J. D. Robbins
Bell Labs technical journal
1980
Corpus ID: 13325024
In earlier papers, we have presented motion-compensated television coding schemes in which the displacement of objects was…
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1972
1972
Steepest Ascent for Large Scale Linear Programs
R. Grinold
1972
Corpus ID: 120918019
Many structured large scale linear programming problems can be transformed into an equivalent problem of maximizing a piecewise…
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