Machine learning of inductive bias
Machine learning of inductive bias
Neural Computation
Learning internal representations
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Machine Learning - Special issue on inductive transfer
Learning to learn
Machine Learning
Readings in Machine Learning
Learning Sequential Tasks by Incrementally Adding Higher Orders
Advances in Neural Information Processing Systems 5, [NIPS Conference]
The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Selective transfer of task knowledge using stochastic noise
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Inductive transfer with context-sensitive neural networks
Machine Learning
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A system that is capable of retaining learned knowledge and selectively transferring portions of that knowledge as a source of inductive bias during new learning would be a significant advance in artificial intelligence and inductive modeling. We define such a system to be a machine lifelong learning, or ML3 system. This paper makes an initial effort at specifying the scope of ML3 systems and their functional requirements.