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» Learning for Dynamic Subsumption
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EUSFLAT
2003
15 years 3 months ago
Stability of backpropagation learning rule
A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
Petr Krupanský, Petr Pivoñka, Jiri D...
IFIP12
2004
15 years 3 months ago
Learning Bayesian Metanetworks from Data with Multilevel Uncertainty
: Managing knowledge by maintaining it according to dynamic context is among the basic abilities of a knowledge-based system. The two main
Vagan Y. Terziyan, Oleksandra Vitko
ICML
2004
IEEE
16 years 2 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
CE
2006
161views more  CE 2006»
15 years 2 months ago
Applying an authentic, dynamic learning environment in real world business
This paper describes a dynamic computer-based business learning environment and the results from applying it in a real-world business organization. We argue for using learning too...
Timo Lainema, Sami Nurmi
CVPR
2007
IEEE
16 years 4 months ago
Learning Dynamic Event Descriptions in Image Sequences
Automatic detection of dynamic events in video sequences has a variety of applications including visual surveillance and monitoring, video highlight extraction, intelligent transp...
Harini Veeraraghavan, Nikolaos Papanikolopoulos, P...