115 search results - page 9 / 23 » Bayesian Learning of Loglinear Models for Neural Connectivit... |
INFORMATICALT
2000
14 years 11 months ago
2000
In this paper, the hexagonal approach was proposed for modeling the functioning of cerebral cortex, especially, the processes of learning and recognition of visual information. Thi...
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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
IJNS
2010
14 years 10 months ago
2010
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...