# Mixture Component

## Papers overview

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2012

2012

- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2012

We introduce a mixture model whereby each mixture component is itself a mixture of a multivariate Gaussian distribution and aâ€¦Â (More)

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2009

2009

- 2009

We propose an algorithm for nonparametric estimation for finite mixtures of multivariate random vectors that is not, but thatâ€¦Â (More)

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2009

Highly Cited

2009

- 2009

The complexity of many dynamical phenomena precludes the use of linear models for which exact analytic techniques are availableâ€¦Â (More)

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2007

2007

- IEEE Transactions on Neural Networks
- 2007

In this paper, we present an incremental method for model selection and learning of Gaussian mixtures based on the recentlyâ€¦Â (More)

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2006

Highly Cited

2006

- 2006

This chapter describes a clustering procedure for microarray expression data based on a well-defined statistical modelâ€¦Â (More)

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2004

Highly Cited

2004

- IEEE Transactions on Biomedical Engineering
- 2004

We present a switching Kalman filter model for the real-time inference of hand kinematics from a population of motor corticalâ€¦Â (More)

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2004

2004

- Toxicological sciences : an official journal ofâ€¦
- 2004

Assessing for interactions among chemicals in a mixture involves the comparison of actual mixture responses to those predictedâ€¦Â (More)

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2001

2001

- ESANN
- 2001

Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear modelsâ€¦Â (More)

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1997

1997

- UAI
- 1997

We describe a heuristic method for learning mixtures of Bayesian Networks (MBNs) from possibly incomplete data. The consideredâ€¦Â (More)

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1995

Highly Cited

1995

- 1995

The maximum likelihood linear regression (MLLR) approach for speaker adaptation of continuous density mixture Gaus-sian HMMs isâ€¦Â (More)

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