1012 search results - page 134 / 203 » A Learning Classifier Approach to Tomography |
169
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EPS
1995
Springer
15 years 7 months ago
1995
Springer
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
164
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UAI
2008
15 years 5 months ago
2008
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
145
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ALGORITHMICA
2006
15 years 4 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
202
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IGARSS
2010
14 years 10 months ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
188
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WWW
2010
ACM
15 years 4 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...