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» Problem dependent optimization (PDO)
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PR
2007
139views more  PR 2007»
15 years 3 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
ICASSP
2011
IEEE
14 years 8 months ago
Prosodic control of unit-selection speech synthesis: A probabilistic approach
One problem in concatenative speech synthesis is how to incorporate prosodic factors in the unit selection. Imposing a predicted prosodic target is error-prone and does not benefi...
Christophe Veaux, Xavier Rodet
136
Voted
IPPS
1999
IEEE
15 years 8 months ago
Hyperplane Partitioning: An Approach to Global Data Partitioning for Distributed Memory Machines
Automatic Global Data Partitioning for Distributed Memory Machines DMMs is a di cult problem. In this work, we present a partitioning strategy called 'Hyperplane Partitioning...
S. R. Prakash, Y. N. Srikant
CCE
2006
15 years 4 months ago
Lagrangean decomposition using an improved Nelder-Mead approach for Lagrangean multiplier update
Lagrangean decomposition has been recognized as a promising approach for solving large-scale optimization problems. However, Lagrangean decomposition is critically dependent on th...
Dan Wu, Marianthi G. Ierapetritou
AI
2002
Springer
15 years 4 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso