Some recent results in u-shaped learning

Authors:
Sanjay Jain;Frank Stephan
Affiliations:
Department of Computer Science, National University of Singapore, Singapore, Republic of Singapore;Department of Computer Science and Department of Mathematics, National University of Singapore, Singapore, Republic of Singapore
Venue:
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Year:
2006

Citing 10
Cited 1

Systems that learn: an introduction to learning theory for cognitive and computer scientists

Systems that learn: an introduction to learning theory for cognitive and computer scientists
Theory of recursive functions and effective computability

Theory of recursive functions and effective computability
Regular Article: Open problems in “systems that learn”

Proceedings of the 30th IEEE symposium on Foundations of computer science
The Power of Pluralism for Automatic Program Synthesis

Journal of the ACM (JACM)
The Power of Vacillation in Language Learning

SIAM Journal on Computing
Machine Inductive Inference and Language Identification

Proceedings of the 9th Colloquium on Automata, Languages and Programming
Unlearning Helps

ICALP '00 Proceedings of the 27th International Colloquium on Automata, Languages and Programming
Non-U-shaped vacillatory and team learning

Journal of Computer and System Sciences
Research in the theory of inductive inference by GDR mathematicians-A survey

Information Sciences: an International Journal
Variations on u-shaped learning

COLT'05 Proceedings of the 18th annual conference on Learning Theory

When unlearning helps

Information and Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

U-shaped learning deals with a learner first having the correct hypothesis, then changing it to an incorrect hypothesis and then relearning the correct hypothesis. This phenomenon has been observed by psychologists in various studies of children development. In this survey talk, we will discuss some recent results regarding U-shaped learning and related criteria.