Learning One More Thing
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Learning. Pages 1217-1224.
Abstract
Most research on machine learning has focused on scenarios in which a learner faces a single, isolated learning task. The lifelong learning framework assumes that the learner encounters a multitude of related learning tasks over its lifetime, providing the opportunity for the transfer of knowledge among these. This paper studies lifelong learning in the context of binary classification. It presents the invariance approach, in which knowledge is transferred via a learned model of the invariances of the domain. Results on learning to recognize objects from color images demonstrate superior generalization capabilities if invariances are learned and used to bias subsequent learning.
@inproceedings{ijcai1995p157,
title = {Learning One More Thing},
author = {Thrun, Sebastian and Mitchell, Tom M.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1217--1224},
year = {1995},
note = {Learning},
url = {https://ijcai.org/proceedings/1995/157},
}
TY - CPAPER TI - Learning One More Thing AU - Thrun, Sebastian AU - Mitchell, Tom M. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1217 EP - 1224 UR - https://ijcai.org/proceedings/1995/157 ER -Copied
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