منابع مشابه
Proximal Knowledge-based Classification
Prior knowledge over general nonlinear sets is incorporated into nonlinear kernel proximal classification problems as linear equalities. The key tool in this incorporation is the conversion of general nonlinear prior knowledge implications into linear equalities in the classification variables without the need to kernelize these implications. These equalities are then included into a proximal n...
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Online and accurate traffic classification is a key challenge for network management. Internet traffic classification based on flow statistics using machine learning method has attracted great attention. To solve the drawback of the previous classification scheme to meet the requirements of the network activities, our work mainly focuses on how to build an online Internet traffic classification...
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The evaluation of England's Safer Cities Programme requires taking account of over 3,000 diverse preventive schemes. A formal, detailed and comprehensive classification system Is required. In developing It, this paper considers why classification Is necessary, Identifies what features a good classification system needs, and examines—andflnds wanting—existing frameworks. Starting from bastes, a ...
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Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little constraint on how classes are organised and a class is expressed by the expert as a free text conclusion to a rule. This paper investigates how relations between such ’classes’ may be discovered from existing knowledge b...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining
سال: 2009
ISSN: 1932-1864,1932-1872
DOI: 10.1002/sam.10019