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119
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JGO
2010
117views more  JGO 2010»
15 years 1 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
130
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TEC
2010
120views more  TEC 2010»
14 years 9 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
131
Voted
CVPR
2004
IEEE
16 years 4 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
96
Voted
IJCAI
1993
15 years 3 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
ICC
2007
IEEE
138views Communications» more  ICC 2007»
15 years 9 months ago
Optimal Observation Scheduling for connected target coverage problem in Wireless Sensor Networks
— In this paper, we consider the problem of scheduling sensor activity to maximize network lifetime while maintaining both discrete targets coverage and network connectivity. We ...
Qun Zhao, Mohan Gurusamy