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» Using Machine Learning to Focus Iterative Optimization
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110
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CEC
2007
IEEE
15 years 9 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
149
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 9 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
222
Voted
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
16 years 4 months ago
A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
126
Voted
CP
2010
Springer
15 years 1 months ago
Spatial, Temporal, and Hybrid Decompositions for Large-Scale Vehicle Routing with Time Windows
This paper studies the use of decomposition techniques to quickly find high-quality solutions to large-scale vehicle routing problems with time windows. It considers an adaptive d...
Russell Bent, Pascal Van Hentenryck
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 3 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain