2884 search results - page 23 / 577 » Evaluating learning algorithms and classifiers |
105
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CORR
2011
Springer
14 years 3 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
CLEF
2007
Springer
15 years 5 months ago
2007
Springer
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
DATAMINE
2006
14 years 11 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
128
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ML
2010
ACM
14 years 6 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
86
Voted
IJCAI
1989
15 years 26 days ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...