Sciweavers

2898 search results - page 71 / 580
» Ensemble Methods in Machine Learning
Sort
View
SEAL
2010
Springer
13 years 6 months ago
Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods
In this paper, the authors compare a Monte Carlo method and an optimization-based approach using genetic algorithms for sequentially generating space-filling experimental designs....
Karel Crombecq, Tom Dhaene
ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
14 years 1 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street
ECML
1998
Springer
14 years 3 days ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec
ICML
2005
IEEE
14 years 8 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
ICML
2004
IEEE
14 years 1 months ago
Learning to learn with the informative vector machine
This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
Neil D. Lawrence, John C. Platt