When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of Edinburgh - Model of computation - Document - PDFSEARCH.IO

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	When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of Edinburgh Add to Reading List Document Date: 2013-03-08 04:44:56 Open Document File Size: 518,09 KB Share Result on Facebook / Facility University of Edinburgh a.storkey@ed.ac.uk March / Characterising Learning Transfer Amos J Storkey Institute of Adaptive / / IndustryTerm expert pattern recognition software / predictive modelling tool / network intrusion detection software / post-hoc processing / / Organization Adaptive and Neural Computation School of Informatics / University of Edinburgh / Storkey Institute of Adaptive / / Person Hence Ptr / / Position model for the test region / author / causal model for covariate shift / model / / Technology some expert pattern recognition software / machine learning / / SocialTag Machine learning Regression analysis Actuarial science Generative model Naive Bayes classifier Supervised learning Conditional probability distribution Instrumental variable Linear regression Statistics

When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of EdinburghAdd to Reading List