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Nonclassification

With two exceptions, nonclassification, supervised learning problems constitute any continuous valued output, supervised learning problem other than classification. The exceptions are heteroassociative and autoassociative binary output problems such as mapping, data compression, and dimension reduction. [Pg.118]

That nonclassification should only be possible if viscosity and/or surface tension measurement results are available for a specific substance or preparation (including extracts and essential oils). [Pg.936]

Employers are required to designate as classified workers those of his employees who are likely to receive an effective dose in excess of 6mSv per year or an equivalent dose which exceeds three-tenths of any relevant dose limit. Only employees aged 18 years or over who have been certified as fit to be designated as a classified person can be so designated. Employees or other persons are only permitted to enter a controlled area if they are classified or enter in accordance with suitable written arrangements. In the case of the latter the employer must be able to justify nonclassification of the workers involved. [Pg.533]


See other pages where Nonclassification is mentioned: [Pg.520]    [Pg.528]    [Pg.39]    [Pg.1906]    [Pg.151]    [Pg.520]    [Pg.528]    [Pg.39]    [Pg.1906]    [Pg.151]   
See also in sourсe #XX -- [ Pg.118 ]

See also in sourсe #XX -- [ Pg.151 ]




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Nonclassification, Supervised Learning Problems

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