591 search results - page 27 / 119 » Learning and optimization using the clonal selection princip... |
108
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KDD
2009
ACM
16 years 11 days ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
127
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ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
FSKD
2007
Springer
15 years 6 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
ICRA
2002
IEEE
15 years 4 months ago
2002
IEEE
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...