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177
Voted
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
160
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
174
Voted
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
184
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
189
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...