2103 search results - page 23 / 421 » Approximate Learning of Dynamic Models |
109
click to vote
AMC
2008
15 years 2 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...
100
Voted
ICPR
2004
IEEE
16 years 3 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...
ISCAS
1999
IEEE
15 years 6 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...
97
Voted
COLT
2000
Springer
15 years 6 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...
138
click to vote
GECCO
2007
Springer
15 years 8 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...