1062 search results - page 89 / 213 » Sublinear Optimization for Machine Learning |
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ALT
2006
Springer
14 years 7 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
COLT
2000
Springer
14 years 2 months ago
2000
Springer
Output coding is a general framework for solving multiclass categorization problems. Previous research on output codes has focused on building multiclass machines given predefine...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
ICONIP
2007
13 years 11 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...