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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… Expand
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Papers overview

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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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2007
2007
Aside from the Expectation-Maximization (EM) algorithm, Least-Mean-Square (LMS) is devised to further train the model parameters… Expand
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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Highly Cited
2001
Highly Cited
2001
A real-time synthesis engine that models and predicts the timbre of acoustic instruments based on perceptual features is… 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
1999
1999
We present a framework for the analysis and synthesis of acoustical instruments based on data-driven probabilistic inference… Expand
1997
1997
Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997. 
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