1837 search results - page 21 / 368 » Learning From Ambiguous Examples |
114
Voted
ICPR
2000
IEEE
16 years 3 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
116
Voted
CP
2004
Springer
15 years 7 months ago
2004
Springer
Constraint programming is rapidly becoming the technology of choice for modeling and solving complex combinatorial problems. However, users of constraint programming technology nee...
123
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HIS
2007
15 years 3 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
258
Voted
PADL
2009
Springer
16 years 3 months ago
2009
Springer
Abstract. PADS is a declarative language used to describe the syntax and semantic properties of ad hoc data sources such as financial transactions, server logs and scientific data ...
105
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...