Explanation-Based Neural Network Learning: A Lifelong Learning Approach
Sebastian Thrun
Kluwer Academic Publishers
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. This book
describes the basic EBNN paradigm and investigates it in the context
of supervised learning, reinforcement learning, robotics, and chess.
``The paradigm of lifelong learning - using earlier learned knowledge
to improve subsequent learning - is a promising direction for a new
generation of machine learning algorithms. Given the need for more
accurate learning methods, it is difficult to imagine a future for
machine learning that does not include this paradigm.'' -- Tom M. Mitchell
@BOOK{Thrun96b,
AUTHOR = {S. Thrun},
YEAR = {1996},
TITLE = {Explanation-Based Neural Network Learning: A Lifelong
Learning Approach},
PUBLISHER = {Kluwer Academic Publishers},
ADDRESS = {Boston, MA}
}