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162
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ECCV
2004
Springer
15 years 11 months ago
2004
Springer
This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
158
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NIPS
2004
15 years 7 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
156
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MSV
2007
15 years 7 months ago
2007
Abstract - In this paper, an essential oil extraction system with self-refilling system is modeled based on inputoutput data collected from a dedicated acquisition system. The ARMA...
187
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AI
1998
Springer
15 years 5 months ago
1998
Springer
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
189
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...