Cluster-weighted modeling

In data mining, cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs… (More)
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Topic mentions per year

1996-2012
01219962012

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2012
2012
Cluster-weighted modeling (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneous… (More)
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2010
2010
Cluster-Weighted Modeling is a flexible statistical framework for modeling local relationships in heterogeneous populations on… (More)
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2010
2010
_____________________________________________________________________________________________ 254 12Proceedings of the 12-th… (More)
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2006
2006
Hybrid power systems combining fuel cells with fast energy storage devices are good solutions to the fuel cell load-following… (More)
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2005
2005
The cluster-weighted modeling (CWM) is a mixture density estimator around local models. To be specific, the input regions… (More)
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2005
2005
The Cluster-Weighted Modeling (CWM) is a mixture density estimator around local models. The input regions together with output… (More)
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2003
2003
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density… (More)
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2000
2000
Cluster-Weighted Modeling, a mixture density estimator around local models, is presented as a framework for the analysis… (More)
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1999
1999
Cluster-weighted modeling (CWM) is a versatile inference algorithm for deriving a functional relationship between input data and… (More)
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