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IFIP12
2008
14 years 11 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
CVPR
2005
IEEE
16 years 2 days ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
ISNN
2010
Springer
14 years 8 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
44
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CORR
2007
Springer
92views Education» more  CORR 2007»
14 years 10 months ago
TRUST-TECH based Methods for Optimization and Learning
Chandan K. Reddy
IJON
2010
114views more  IJON 2010»
14 years 7 months ago
Optimization method based extreme learning machine for classification
Guang-Bin Huang, Xiaojian Ding, Hongming Zhou