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 | |
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Views | 172 | 172 |
Downloads | 121 | 121 |
Data volume | 151.9 GB | 151.9 GB |
Unique views | 164 | 164 |
Unique downloads | 54 | 54 |