58 search results - page 9 / 12 » Visualization and Adjustment of Evaluation Functions Based o... |
ICC
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
UAI
1997
13 years 9 months ago
1997
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
CPAIOR
2008
Springer
13 years 9 months ago
2008
Springer
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
DMIN
2006
13 years 9 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
ICIP
2007
IEEE
13 years 8 months ago
2007
IEEE
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...