130 search results - page 19 / 26 » Identification of Wiener models using optimal local linear m... |
AI
1998
Springer
13 years 7 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
PODC
2005
ACM
14 years 1 months ago
2005
ACM
Many large-scale networks such as ad hoc and sensor networks, peer-to-peer networks, or the Internet have the property that the number of independent nodes does not grow arbitrari...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
ASPDAC
2001
ACM
13 years 11 months ago
2001
ACM
Clock-tuning has been classified as important but tough tasks due to the non-convex nature caused by the skew requirements. As a result, all existing mathematical programming appr...