2348 search results - page 58 / 470 » Stochastic Mapping Frameworks |
MP
2006
13 years 11 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
TNN
2008
13 years 11 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
FPL
2009
Springer
14 years 3 months ago
2009
Springer
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...