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Abstract
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| We present a method for learning mixture of polynomial approximations of probability densities from data using a linear combination of B-splines. Maximum likelihood estimators of the mixing coefficients of the linear combination are computed, and model selection is performed using a penalized likelihood criterion. | |
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International
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Si |
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Congress
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Sixth European Workshop on Probabilistic Graphical Models |
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960 |
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Place
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Granada, Spain |
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Reviewers
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Si |
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ISBN/ISSN
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978-84-15536-57-4 |
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Start Date
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19/09/2012 |
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End Date
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21/09/2012 |
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From page
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211 |
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To page
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278 |
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Proceedings of the Sixth European Workshop on Probabilistic Graphical Models |