Soft and hard classification by reproducing kernel Hilbert space methods
نویسندگان
چکیده
منابع مشابه
Soft and hard classification by reproducing kernel Hilbert space methods.
Reproducing kernel Hilbert space (RKHS) methods provide a unified context for solving a wide variety of statistical modelling and function estimation problems. We consider two such problems: We are given a training set [yi, ti, i = 1, em leader, n], where yi is the response for the ith subject, and ti is a vector of attributes for this subject. The value of y(i) is a label that indicates which ...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2002
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.242574899