48 search results - page 8 / 10 » Uncertainty Modeling and Reduction in MANETs |
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
ML
2007
ACM
13 years 9 months ago
2007
ACM
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
ISVLSI
2008
IEEE
14 years 4 months ago
2008
IEEE
In nanometer regime, the effects of process variations are dominating circuit performance, power and reliability of circuits. Hence, it is important to properly manage variation e...
ISQED
2005
IEEE
14 years 3 months ago
2005
IEEE
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
ICRA
2003
IEEE
14 years 3 months ago
2003
IEEE
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...