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229
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ML
2000
ACM
15 years 6 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
173
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SODA
2001
ACM
15 years 8 months ago
2001
ACM
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
166
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ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training d...
161
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ILP
1998
Springer
15 years 11 months ago
1998
Springer
In this paper we argue that the use of a language with a type system, together with higher-order facilities and functions, provides a suitable basis for knowledge representation in...
168
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IIE
2007
15 years 6 months ago
2007
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...