1175 search results - page 29 / 235 » Experimental perspectives on learning from imbalanced data |
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
133
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GEOS
2009
Springer
15 years 2 months ago
2009
Springer
As directories of named places, gazetteers link the names to geographic footprints and place types. Most existing gazetteers are managed strictly top-down: entries can only be adde...
76
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
ECML
2001
Springer
15 years 2 months ago
2001
Springer
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
70
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ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...