Incorporating Input Information into Learning and Augmented Objective Functions
<p>In many applications, some form of input information, such as test inputs or extra inputs, is available. We incorporate input information into learning by an augmented error function, which is an estimator of the out-of-sample error. The augmented error consists of the training error plus a...
Internet
https://thesis.library.caltech.edu/3913/1/Cataltepe_z_1998.pdfÇataltepe, Zehra Kök (1998) Incorporating Input Information into Learning and Augmented Objective Functions. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/82JV-3D67. https://resolver.caltech.edu/CaltechETD:etd-10042005-104636 <https://resolver.caltech.edu/CaltechETD:etd-10042005-104636>