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LEARNING MIXTURES OF LINEAR CLASSIFIERS
The dataset used in the paper is a mixture of linear classifiers, where each component corresponds to a generalified linear model with parameter vector uℓ ∈ Rd. -
Prediction-Focused Mixtures
The dataset used in the paper is a concatenation of M independent mixtures, each with Km components. -
Finite Mixture Model
The dataset used in this paper is a finite mixture model with a finite number of k components from a parametric statistical model P. -
Mixture of Gaussian distributions with 6 modes
The dataset used in the paper is a mixture of Gaussian distributions with 6 modes. -
Comparing EM with GD in Mixture Models of Two Components
The dataset used in this paper is a mixture of two Gaussians and two Bernoullis.
