On the role of procrastination in machine learning
Information and Computation
Ordinal mind change complexity of language identification
Theoretical Computer Science
Inclusion is Undecidable for Pattern Languages
ICALP '93 Proceedings of the 20th International Colloquium on Automata, Languages and Programming
Mind change efficient learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Mind change efficient learning
Information and Computation
Bad News on Decision Problems for Patterns
DLT '08 Proceedings of the 12th international conference on Developments in Language Theory
Bad news on decision problems for patterns
Information and Computation
Mind change efficient learning
Information and Computation
Hi-index | 0.00 |
We define a concept of inclusion depth (see Definition 1) to capture mind-change complexity [3,1] of pattern identification problems [2]. Our basic question is whether the inclusion depth for any pattern is computable. We conjecture a combinatorial characterization that, if true, leads to a linear time algorithm to compute inclusion depth.