1062 search results - page 65 / 213 » Sublinear Optimization for Machine Learning |
122
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
127
Voted
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
91
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
131
Voted
AAAI
2011
14 years 2 months ago
2011
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
144
Voted
COLT
2010
Springer
15 years 5 days ago
2010
Springer
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...