Machine Learning - Special issue on inductive transfer
Robot Learning Using Gate-Level Evolvable Hardware
EWLR-6 Proceedings of the 6th European Workshop on Learning Robots
Learning a Navigation Task in Changing Environments by Multi-task Reinforcement Learning
EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning
Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty
Artificial Intelligence Review
Learning to Locate Informative Features for Visual Identification
International Journal of Computer Vision
An adaptable transport protocol based on Genetic Algorithms
International Journal of Information and Communication Technology
Open-ended category learning for language acquisition
Connection Science - Language and Robots
Information Sciences: an International Journal
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Machine lifelong learning: challenges and benefits for artificial general intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
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From the Publisher:Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess.