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TSMC
2002
129views more  TSMC 2002»
15 years 1 months ago
A distributed robotic control system based on a temporal self-organizing neural network
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
Guilherme De A. Barreto, Aluizio F. R. Araú...
GECCO
1999
Springer
105views Optimization» more  GECCO 1999»
15 years 5 months ago
Linkage Information Processing In Distribution Estimation Algorithms
The last few years there has been an increasing amount of interest in the eld of distribution estimation optimization algorithms. As more techniques are introduced, the variety in...
Peter A. N. Bosman, Dirk Thierens
ALT
2007
Springer
15 years 10 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
117
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TKDE
2010
137views more  TKDE 2010»
14 years 12 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
CVPR
2000
IEEE
16 years 3 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...