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[paper](https://github.com/lucivpav/bachelors-thesis/raw/0cc4b877f1c41fdd7a91b923ce885bec820b7f0b/Pavel%20Lu%C4%8Div%C5%88%C3%A1k%20BP.pdf).\n\n## Accuracy \nData sets based on [Toy Robot data set](https://www.cs.princeton.edu/courses/archive/fall06/cos402/hw/hw5/hw5.html)\n\n|Data set type                   |Average success rate [%]|\n|--------------------------------|------------------------|\n|Discrete                        |65                      |\n|Continuous                      |42                      |\n|Bivariate                       |76                      |\n|Gaussian mixture (without hint) |96                      |\n|Gaussian mixture (with hint)    |99                      |\n\nThe average success rate means the average percentage of hidden states inferred correctly.\n\nThere are two main reasons for relatively low overall sucess rate:\n\n1) Only about 90% of observed symbols are accurate\n2) There are multiple transitions to hidden states with the same observed symbol\n\n## Performance\n### Data set\n\n|Property                        |Value|\n|--------------------------------|-----|\n|Number of hidden states         |10   |\n|Sequence length                 |200  |\n|Observed discrete variables     |5    |\n|Observed continuous variables   |5    |\n|Learning set length (#sequences)|1000 |\n|Testing set length (#sequences) |200  |\n|Max Gaussians per mixture       |3    |\n|Transitions per hidden state    |5    |\n\n### Machine\n\n|Property |Value                                  |\n|---------|---------------------------------------|\n|Processor|2× 8-core Intel Xeon E5-2650 v2 2.6 GHz|\n|Memory   |15 GB                                  |\n|Disk     |10 GB HDD                              |\n\n### Results\n\n|Property                |Workers=1|Workers=2|Workers=4|Workers=8|Workers=15|\n|------------------------|---------|---------|---------|---------|----------|\n|Learning time speed up  |1        |1.3      |1.5      |1.8      |2         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