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0111 · Apr 202419922001200920172026
3 results for Overspecification

Study shows MDA's effectiveness even when more components are assumed than in actual data.

problem Classification error in overspecified Mixture Discriminant Analysis.
method Two-component Gaussian mixture model, EM algorithm, theoretical analysis of convergence and error rates.
result EM algorithm converges exponentially fast to Bayes risk with suitable initialization.

EM algorithm converges exponentially fast for overspecified Gaussian mixtures.

problem Convergence of EM algorithm in overspecified Gaussian mixtures.
method Structured configuration of means and weights, strong convexity, Polyak-Łojasiewicz inequality, finite-sample analysis.
result Exponential convergence rate of EM algorithm in KL distance.