377 search results - page 32 / 76 » Distributionally Robust Optimization and Its Tractable Appro... |
JACM
2006
14 years 11 months ago
2006
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
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PODS
2008
ACM
15 years 12 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
ESCIENCE
2006
IEEE
15 years 5 months ago
2006
IEEE
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
ICA
2004
Springer
15 years 5 months ago
2004
Springer
We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...