2103 search results - page 23 / 421 » Approximate Learning of Dynamic Models |
139
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AMC
2008
15 years 4 months ago
2008
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
121
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
116
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ISCAS
1999
IEEE
15 years 8 months ago
1999
IEEE
We study the weight dynamics of the floating-gate pFET synapse and the effects of the pFET's gate and drain voltages on these dynamics. We show that we can derive a weight upd...
114
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COLT
2000
Springer
15 years 8 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
164
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...