The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section)
Masashi Sugiyama and Klaus-Robert Mller

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces     (Kernel Machines Section).pdf 675.84kB
Type: Paper
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Metadata:
@article{3:13,author={Masashi Sugiyama and Klaus-Robert Mller}, Title={The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
(Kernel Machines Section)},journal={Journal of Machine Learning Research},volume={3}, url={http://www.jmlr.org/papers/volume3/fung02a/fung02a.pdf}}
Citation:
Sugiyama, M. & Mller, K.. (2014). The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section) [Data set]. Academic Torrents. https://academictorrents.com/details/309dbeb9e5cd88d8bc7ad02d109dd5674549adea

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