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 | 124 | 124 |
Downloads | 36 | 36 |
Data volume | 35.5 GB | 35.5 GB |
Unique views | 119 | 119 |
Unique downloads | 10 | 10 |