In data mining, cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputsâ€¦Â (More)

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2012

2012

Erratum to: Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions

- Salvatore Ingrassia, Simona C. Minotti, Giorgio Vittadini
- J. Classification
- 2012

Cluster-weighted modeling (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneousâ€¦Â (More)

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2010

2010

Cluster-Weighted Modeling is a flexible statistical framework for modeling local relationships in heterogeneous populations onâ€¦Â (More)

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2010

2010

- Chi-Min Liu, Wen-Chieh Lee, +4 authors Akinori Nishihara
- 2010

_____________________________________________________________________________________________ 254 12Proceedings of the 12-thâ€¦Â (More)

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2007

2006

2006

- Tao Zhu, S. R. Shaw, S. B. Leeb
- IEEE Transactions on Energy Conversion
- 2006

Hybrid power systems combining fuel cells with fast energy storage devices are good solutions to the fuel cell load-followingâ€¦Â (More)

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2005

2005

- Madasu Hanmandlu, Nishchal K. Verma, Nesar Ahmad, Shantaram Vasikarla
- The 14th IEEE International Conference on Fuzzyâ€¦
- 2005

The cluster-weighted modeling (CWM) is a mixture density estimator around local models. To be specific, the input regionsâ€¦Â (More)

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2005

2005

- N. K. Verma, M. Hanmandlu
- 2005 Annual IEEE India Conference - Indicon
- 2005

The Cluster-Weighted Modeling (CWM) is a mixture density estimator around local models. The input regions together with outputâ€¦Â (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 densityâ€¦Â (More)

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2000

2000

Cluster-Weighted Modeling, a mixture density estimator around local models, is presented as a framework for the analysisâ€¦Â (More)

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1999

1999

Cluster-weighted modeling (CWM) is a versatile inference algorithm for deriving a functional relationship between input data andâ€¦Â (More)

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