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» Estimating replicability of classifier learning experiments
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JMLR
2008
104views more  JMLR 2008»
13 years 4 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
ECML
2001
Springer
13 years 9 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
HICSS
2003
IEEE
142views Biometrics» more  HICSS 2003»
13 years 10 months ago
Evolution of a Knowledge Focused Computer Supported Learning System by Ensuring Extensibility through Generalization and Replica
If sufficient attention is not paid to the information models on which Learning Platforms are based the ability to deliver rich functionality is hindered. This paper describes the...
David White, Lesley A. Gardner, Don Sheridan
ICML
2005
IEEE
14 years 5 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers