2898 search results - page 12 / 580 » Ensemble Methods in Machine Learning |
116
Voted
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
MLDM
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
100
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
103
click to vote
MLDM
2009
Springer
15 years 8 months ago
2009
Springer
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
112
Voted
ECML
2003
Springer
15 years 7 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...