Research Article
Dynamic Programming Structure Learning Algorithm of Bayesian Network Integrating MWST and Improved MMPC
Table 6
Portion of the processed data.
| ā | D | TV | Ty | I | C | Im | TP | H | Dis | V | A | R | RCS | TS | WI |
| 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 2 | 1 | 2 | 3 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 1 | 3 | 1 | 2 | 2 | 1 | 2 | 1 | 3 | 2 | 2 | 3 | 2 | 2 | 3 | 1 | 2 | 1 | 2 | 1 | 1 | 2 | 1 | 2 | 4 | 2 | 3 | 1 | 1 | 3 | 2 | 1 | 2 | 1 | 2 | 2 | 2 | 1 | 1 | 2 | 5 | 2 | 3 | 2 | 2 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 1 | 6 | 2 | 1 | 1 | 1 | 1 | 3 | 1 | 2 | 3 | 1 | 3 | 2 | 1 | 2 | 1 | 7 | 2 | 2 | 3 | 2 | 3 | 2 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 | 2 | 8 | 1 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 2 | 2 | 1 | 1 | 9 | 1 | 1 | 3 | 1 | 1 | 3 | 2 | 2 | 1 | 3 | 2 | 1 | 2 | 2 | 1 | 10 | 2 | 2 | 2 | 2 | 3 | 1 | 2 | 2 | 2 | 2 | 1 | 2 | 1 | 1 | 1 |
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