Mixture Component

A substance that occurs as part of a mixture substance.
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
We introduce a mixture model whereby each mixture component is itself a mixture of a multivariate Gaussian distribution and a… (More)
  • table 1
  • figure 1
  • table 2
  • figure 2
  • figure 3
Is this relevant?
2009
2009
We propose an algorithm for nonparametric estimation for finite mixtures of multivariate random vectors that is not, but that… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2009
Highly Cited
2009
The complexity of many dynamical phenomena precludes the use of linear models for which exact analytic techniques are available… (More)
Is this relevant?
2007
2007
In this paper, we present an incremental method for model selection and learning of Gaussian mixtures based on the recently… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
Is this relevant?
Highly Cited
2006
Highly Cited
2006
This chapter describes a clustering procedure for microarray expression data based on a well-defined statistical model… (More)
  • table 10.1
  • figure 10.1
  • figure 10.2
  • figure 10.3
  • figure 10.4
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We present a switching Kalman filter model for the real-time inference of hand kinematics from a population of motor cortical… (More)
  • figure 1
  • figure 2
  • figure 4
  • table I
  • figure 3
Is this relevant?
2004
2004
Assessing for interactions among chemicals in a mixture involves the comparison of actual mixture responses to those predicted… (More)
  • table 1
  • figure 1
  • table 2
  • table 3
  • figure 4
Is this relevant?
2001
2001
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
1997
1997
We describe a heuristic method for learning mixtures of Bayesian Networks (MBNs) from possibly incomplete data. The considered… (More)
Is this relevant?
Highly Cited
1995
Highly Cited
1995
The maximum likelihood linear regression (MLLR) approach for speaker adaptation of continuous density mixture Gaus-sian HMMs is… (More)
Is this relevant?