| W04-3216 | to add " fake counts " during | parameter re-estimation | , according to the prior . The |
| P11-2124 | steps is followed by an EM-based | parameter re-estimation | . This process allows learning |
| A00-2014 | Baum-Welch Maximum Likelihood | parameter re-estimation | on diagonal covariance Gaussian |
| J05-4004 | The final inference problem is | parameter re-estimation | . In the case of standard HMMs |
| P98-1035 | useful for justifying the model | parameter re-estimation | . The two estimates ( 8 ) and |
| H93-1020 | are reported on the benefits of | parameter re-estimation | . For example , while many researchers |
| J12-3007 | algorithm for a second stage of | parameter re-estimation | for WORD-PREDICTOR and SEMANTIZER |
| D15-1119 | of word orders and an efficient | parameter re-estimation | algorithm is devised . It has |
| P11-1021 | algorithm for a second stage of | parameter re-estimation | for WORD - PREDICTOR and SEMANTIZER |
| P99-1022 | reduction using document-specific | parameter re-estimation | , and no significant word error |
| P98-1035 | techniques similar to those used in HMM | parameter re-estimation | can not be used with our model |
| J05-4004 | technical requirement involving | parameter re-estimation | , which essentially says that |
| J12-3007 | 31 ) . We use a second stage of | parameter re-estimation | for p ( wk +1 | wkk − n |
| P07-1036 | from the supervised model . The | parameter re-estimation | in line 9 , uses a similar intuition |
| W01-0505 | ) . In other works , iterative | parameter re-estimation | ` Suppose that Uk and vk are |
| P98-1035 | perplexity of our model . 3.4 | Parameter Re-estimation | The major problem we face when |
