123
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MCS
15 years 6 months ago
2001 Springer 
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
112
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MCS
15 years 6 months ago
2001 Springer 
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
119
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MCS
15 years 6 months ago
2001 Springer 
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
103
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MCS
15 years 6 months ago
2001 Springer 
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
111
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MCS
15 years 6 months ago
2001 Springer 
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
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Pattern Recognition