5463 search results - page 63 / 1093 » Evaluating algorithms that learn from data streams |
90
Voted
CIKM
2009
Springer
15 years 3 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
105
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ECML
2006
Springer
15 years 4 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
103
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DASFAA
2010
IEEE
15 years 23 days ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
IJIIDS
2007
15 years 14 days ago
2007
: We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several...
115
Voted
KDD
2010
ACM
15 years 4 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...