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Stochastic optimization
Known as:
Stochastic optimisation
, Stochastic search
Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables…
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Related topics
Related topics
48 relations
AIMMS
CMA-ES
Constructive cooperative coevolution
Cross-entropy method
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Broader (1)
Estimation theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Ranking via Robust Binary Classification
Hyokun Yun
,
Parameswaran Raman
,
S. Vishwanathan
Neural Information Processing Systems
2014
Corpus ID: 6491650
We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for…
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Review
2012
Review
2012
Comparison of adaptive uncertainty quantification approaches for shock wave-dominated flows
D. Lucor
,
J. Witteveen
,
P. Constantine
,
D. Schiavazzi
,
G. Iaccarino
2012
Corpus ID: 18144210
Shock wave-dominated systems are very sensitive to uncertainties in initial or boundary conditions as they often give rise to…
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Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani
,
Nando de Freitas
,
H. Larochelle
,
Vittorio Murino
,
Jo-Anne Ting
International Conference on Machine Learning
2011
Corpus ID: 15076966
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by…
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2011
2011
Computational Needs for the Next Generation Electric Grid
J. Eto
2011
Corpus ID: 70238534
There are pressing economic as well as environmental arguments for the overhaul of the current outdated power grid, and its…
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2010
2010
Fast Discovery of Reliable Subnetworks
P. Hintsanen
,
Hannu (TT) Toivonen
,
P. Sevon
International Conference on Advances in Social…
2010
Corpus ID: 1937305
We present a novel and efficient algorithm, Path Covering, for solving the most reliable subgraph problem. A reliable subgraph…
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2009
2009
Solving the State Assignment Problem Using Stochastic Search Aided with Simulated Annealing
W. Aly
2009
Corpus ID: 14255735
Problem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential…
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2004
2004
Adaptive photo collection page layout
C. B. Atkins
International Conference on Image Processing…
2004
Corpus ID: 3205809
This paper presents a new photo collection page layout that attempts to maximize page coverage without having photos overlap…
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2002
2002
Stochastic stability analysis for fault tolerant control systems with multiple failure processes
M. Mahmoud
,
Jin Jiang
,
Youmin Zhang
International Journal of Systems Science
2002
Corpus ID: 7931882
A new dynamical model is developed here to study the stochastic stability of Fault Tolerant Control Systems (FTCS) with multiple…
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1997
1997
Function Optimisation Using Multiple-base Population Based Incremental Learning
M. Servais
,
G. de Jager
,
J. Greene
1997
Corpus ID: 18698356
| Population Based Incremental Learning (PBIL) is a stochastic search technique which combines characteristics of both the…
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Review
1996
Review
1996
A Comprehensive Review of Production-oriented Manufacturing Cell Formation Techniques
A. King
1996
Corpus ID: 15440431
This paper o ers a comprehensive review and classi cation of techniques to manipulate part routing sequences for manufacturing…
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