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92
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CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
102
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ML
2002
ACM
14 years 9 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
APWEB
2005
Springer
15 years 3 months ago
2005
Springer
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
JDWM
2007
14 years 9 months ago
2007
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...