193 search results - page 22 / 39 » Approximate Maximum Parsimony and Ancestral Maximum Likeliho... |
128
click to vote
STOC
2009
ACM
16 years 1 months ago
2009
ACM
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
96
Voted
EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
15 years 6 months ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
112
Voted
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...
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Optimizing over a variant of the Mean Optimal Subpattern Assignment (MOSPA) metric is equivalent to optimizing over the track accuracy statistic often used in target tracking benc...
105
Voted
IOR
2008
15 years 14 days ago
2008
Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline function...