1183 search results - page 162 / 237 » Learning Process Models with Missing Data |
113
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ECML
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
128
Voted
HIS
2008
15 years 2 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
323
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ICA
2012
Springer
13 years 9 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
134
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UAI
2008
15 years 2 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
122
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EMNLP
2009
14 years 11 months ago
2009
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...