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    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
    12 years 11 months ago
    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
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    A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
    Sheng Chen, Xia Hong, Chris J. Harris
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