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...
Similar Items
-
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription
by: Stephane Doncieux, et al.
Published: (2018-09-01) -
Budgeting in an open system
by: Wojciech A. Nowak
Published: (2004-06-01) -
Citizens’ budget as an instrument for increasing the openness of the budget system
by: Oksana Perchuk
Published: (2018-02-01) -
An End-to-End Multiplex Graph Neural Network for Graph Representation Learning
by: Yanyan Liang, et al.
Published: (2021-01-01) -
Spatial and temporal learning representation for end-to-end recording device identification
by: Chunyan Zeng, et al.
Published: (2021-07-01)