Towards Open Ended Learning: Budgets, Model Selection, and Representation

Towards Open Ended Learning: Budgets, Model Selection, and Representation

<p>Biological organisms learn to recognize visual categories continuously over the course of their lifetimes. This impressive capability allows them to adapt to new circumstances as they arise, and to flexibly incorporate new object categories as they are discovered. Inspired by this capabil...

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Bibliographic Details
Main Author: Gomes, Ryan Geoffrey
Format: Others
Published: 2011
Online Access:https://thesis.library.caltech.edu/6241/1/thesis.pdf
Gomes, Ryan Geoffrey (2011) Towards Open Ended Learning: Budgets, Model Selection, and Representation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/T92X-DQ05. https://resolver.caltech.edu/CaltechTHESIS:02092011-171146758 <https://resolver.caltech.edu/CaltechTHESIS:02092011-171146758>

Internet

https://thesis.library.caltech.edu/6241/1/thesis.pdf
Gomes, Ryan Geoffrey (2011) Towards Open Ended Learning: Budgets, Model Selection, and Representation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/T92X-DQ05. https://resolver.caltech.edu/CaltechTHESIS:02092011-171146758 <https://resolver.caltech.edu/CaltechTHESIS:02092011-171146758>

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