On the Convergence Rate of Good-Turing Estimators
COLT '00 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
On modeling profiles instead of values
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Maximum Likelihood Set for Estimating a Probability Mass Function
Neural Computation
The maximum likelihood probability of skewed patterns
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
On the Entropy Rate of Pattern Processes
IEEE Transactions on Information Theory
Universal Lossless Compression With Unknown Alphabets—The Average Case
IEEE Transactions on Information Theory
Proceedings of the forty-third annual ACM symposium on Theory of computing
Hi-index | 0.00 |
We derive several pattern maximum likelihood (PML) results, among them showing that if a pattern has only one symbol appearing once, its PML support size is at most twice the number of distinct symbols, and that if the pattern is ternary with at most one symbol appearing once, its PML support size is three. We apply these results to extend the set of patterns whose PML distribution is known to all ternary patterns, and to all but one pattern of length up to seven.