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95
Voted
JMLR
2010
2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
14 years 4 months ago
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
78
Voted
TC
1998
14 years 11 months ago
1998
Data integrity policies often require that quality and integrity metadata be generated and communicated to potential users. However, in data warehouses, federations, and other mul...
103
click to vote
WEBNET
1997
14 years 11 months ago
1997
The health care industry in the United States has been experiencing substantial and ever increasing cost pressures. At the same time, many forces are revolutionizing the way healt...
KRDB
1994
14 years 11 months ago
1994
This paper presents, fromthe author's perspective, the problems that occur in practice during data modelling. The author's experiences are a result of a considerable num...