842 search results - page 100 / 169 » Distributions of Maximum Likelihood Estimators and Model Com... |
108
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ACL
2006
15 years 1 months ago
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
TMC
2010
14 years 10 months ago
2010
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
JSSPP
2005
Springer
15 years 5 months ago
2005
Springer
User estimates of job runtimes have emerged as an important component of the workload on parallel machines, and can have a significant impact on how a scheduler treats different ...
ICASSP
2010
IEEE
14 years 6 months ago
2010
IEEE
This paper considers the estimation of shooter locations using a sensor network where each sensor measures the time difference between receptions of a firearm's muzzle blast ...
108
click to vote
ACL
2006
15 years 1 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...