1017 search results - page 76 / 204 » Constructive and collaborative learning of algorithms |
IDA
2007
Springer
15 years 7 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
88
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UAI
2003
15 years 2 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
119
Voted
BIBM
2010
IEEE
14 years 10 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
104
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CORR
2004
Springer
15 years 20 days ago
2004
Springer
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
ECCV
1998
Springer
16 years 2 months ago
1998
Springer
?We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training ...