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156
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IJCV
2000
15 years 6 months ago
2000
In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
181
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
175
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
218
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
156
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ICALT
2003
IEEE
15 years 11 months ago
2003
IEEE
The production process of multimedia learning material includes many participants, tasks, and tools. The system described in this paper combines all data from the development and ...