Kernel Probability Density Estimation Methods
نویسنده
چکیده
S. Towers State University of New York at Stony Brook Abstract Kernel Probability Density Estimation techniques are fast growing in popularity in the particle physics community. This note gives an overview of these techniques, and compares their signal/background discrimination performance to that of an artificial neural network.
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