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139
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ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
144
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ICML
2003
IEEE
15 years 9 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
115
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ML
2006
ACM
15 years 3 months ago
2006
ACM
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
120
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
142
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ICML
2003
IEEE
15 years 9 months ago
2003
IEEE
AUC(Area Under the Curve) of ROC(Receiver Operating Characteristics) has been recently used as a measure for ranking performanceof learning algorithms. In this paper, wepresent a ...