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145
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CORR
2011
Springer
14 years 9 months ago
2011
Springer
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
138
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
118
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EDUTAINMENT
2006
Springer
15 years 6 months ago
2006
Springer
This paper explores the nature of player behaviour in game environments in relation to the methodology of the dramatist Bertolt Brecht. Firstly, a conceptualisation of how manipula...
104
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KDD
2009
ACM
16 years 3 months ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
126
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...