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128
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PLILP
1993
Springer
15 years 6 months ago
Narrowing Approximations as an Optimization for Equational Logic Programs
Abstract. Solving equations in equational theories is a relevant programming paradigm which integrates logic and equational programming into one unified framework. Efficient metho...
María Alpuente, Moreno Falaschi, Marí...
135
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VCIP
2000
15 years 4 months ago
Optimal down-conversion in compressed DCT domain with minimal operations
A new down-conversion scheme in the DCT domain is presented, which can be used in decoders of DCT-compressed images and videos. The down-conversion in the transform domain general...
Myoung-Cheol Shin, In-Cheol Park
157
Voted
NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 2 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
145
Voted
CVPR
2012
IEEE
13 years 5 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
140
Voted
ICDIM
2007
IEEE
15 years 9 months ago
A novel Variable Neighborhood Particle Swarm Optimization for multi-objective Flexible Job-Shop Scheduling Problems
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
Hongbo Liu, Ajith Abraham, Crina Grosan