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Toward a tight upper bound for the error probability of the binary Gaussian classification problem - MaRDI portal

Toward a tight upper bound for the error probability of the binary Gaussian classification problem (Q2476980)

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Toward a tight upper bound for the error probability of the binary Gaussian classification problem
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    Toward a tight upper bound for the error probability of the binary Gaussian classification problem (English)
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    12 March 2008
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    binary classification
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    Bayesian decision rule
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    decision boundary
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    error probability
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    Monte-Carlo simulations
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    multivariate normal distribution
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    quadratic surfaces
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