545 search results - page 1 / 109 » Estimating the Probability of Approximate Matches |
CPM
1997
Springer
13 years 9 months ago
1997
Springer
CSDA
2007
13 years 5 months ago
2007
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in an...
ICCAD
2004
IEEE
14 years 2 months ago
2004
IEEE
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
NECO
2008
13 years 5 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...