2884 search results - page 119 / 577 » Evaluating learning algorithms and classifiers |
123
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IJCNLP
2005
Springer
15 years 10 months ago
2005
Springer
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
116
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
140
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AIR
2004
15 years 4 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
137
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FGR
2004
IEEE
15 years 8 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
142
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...