Dataset Open Access
Wiedenhoeft, John; Brugel, Eric; Schliep, Alexander
HaMMLET is a novel type of Bayesian Hidden Markov Model, using dynamically adaptive wavelet compression for improved speedup and convergence behaviour of Forward-Backward Gibbs sampling.
This data set contains supplemental material for HaMMLET's initial publication.
All versions | This version | |
---|---|---|
Views | 156 | 156 |
Downloads | 80 | 80 |
Data volume | 97.7 GB | 97.7 GB |
Unique views | 148 | 148 |
Unique downloads | 51 | 51 |