780 search results - page 19 / 156 » Learning Low-Density Separators |
GECCO
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
TCS
2008
13 years 7 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the lite...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
FOCS
2005
IEEE
14 years 1 months ago
2005
IEEE
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...