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Highly Cited

2012

Highly Cited

2012

Cluster-weighted modeling (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneous… Expand

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2012

2012

Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a… Expand

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2010

2010

We consider Cluster-Weighted Modeling in order to model functional dependence between some input and output variables based on… Expand

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2009

2009

We investigate statistical properties of Cluster-Weighted Modeling, which is a framework for supervised learning originally… Expand

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2007

2007

Aside from the Expectation-Maximization (EM) algorithm, Least-Mean-Square (LMS) is devised to further train the model parameters… Expand

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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… Expand

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2001

2001

We discuss an approach to joint density estimation called cluster-weighted modeling (CWM). The base approach was originally… Expand

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2001

2001

Cluster-weighted modeling (CWM) was proposed by Gershenfeld (1999) for density estimation in joint input-output space. In the… Expand

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2001

2001

Cluster-weighted modeling, a mixture density estimator around local models, is presented as a framework for the analysis… Expand

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1999

1999

We present a framework for the analysis and synthesis of acoustical instruments based on data-driven probabilistic inference… Expand

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