2632 search results - page 60 / 527 » Predictive Representations of State |
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
BPM
2008
Springer
13 years 12 months ago
2008
Springer
Simulation is widely used as a tool for analyzing business s but is mostly focused on examining rather abstract steady-state situations. Such analyses are helpful for the initial d...
PAM
2012
Springer
12 years 5 months ago
2012
Springer
Due to the lack of a standardized methodology for reporting firewall performance, current datasheets are designed for marketing and provide inflated throughput measurements obtai...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
ICC
2000
IEEE
14 years 2 months ago
2000
IEEE
—In this paper, we propose a technique to reduce the number of trellis states in BCJR-type algorithms, i.e., algorithms with a structure similar to that of the well-known algorit...