Abstract
Classification of finite alphabet sources with partial statistics is studied. Efficient universal discriminant functions are introduced and are shown to be closely related to universal data compression.
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© 1987 Springer-Verlag New York Inc.
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Ziv, J. (1987). On Classification with Partial Statistics and Universal Data Compression. In: Cover, T.M., Gopinath, B. (eds) Open Problems in Communication and Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4808-8_21
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DOI: https://doi.org/10.1007/978-1-4612-4808-8_21
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-9162-6
Online ISBN: 978-1-4612-4808-8
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