### Table 22: Effect of Adaptation on Source Language System. Adaptation is via 1 global MLLR transformation, followed by a 4 class MLLR transformation, followed by MAP adaptation. Test set is VOA-2.

2000

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### Table 22: Effect of Adaptation on Source Language System. Adaptation is via 1 global MLLR transformation, followed by a 4 class MLLR transformation, followed by MAP adaptation. Test set is VOA-2.

in Contents

### Table 4. Performance with Rule II: selecting via adaptive character threshold values.

### Table 8: Execution of PDE1 over 8 Processors on the di erent University Systems. y= executed on one processor

"... In PAGE 43: ... Choosing SUN4SOL2 will mean that PVM performs its communications via sockets and selecting SUNMP (MP stands for MultiProces- sor) means that shared memory is used. Results for both of these options are given in Table8 below. It can be seen that SUNMP gives slightly better performance for each tool.... ..."

### Table 3: Inference of Xr via OVPCA(displayed in transformed variable yX;r). Bayesian selection ARD Property

"... In PAGE 15: ...e exploited in the rapid evaluation of (77) as discussed in the second bullet point of Section 6.1. VB approximating posterior distributions for orthogonal parameters Ar (37) and Xr (38) are presented in transformed variables, yA and yX (78), respectively. Moments of the transformed distri- butions are displayed in Table 2 and Table3 , together with the projection of the original simulated values in each case. Again, we condition on the two cases of r used in Table 1.... ..."

### Table 5, along with results by adapting the weights (second column) and by randomly selecting a transform for a class (third column).

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"... In PAGE 4: ... Table5 . Performance with and without weight adaptation The results reveal that indeed an important part of the gain is due to the transforms alone.... ..."

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### Table 1. Entanglement of

2003

"... In PAGE 4: ... Because she knows the initial state of her created qubits i Q and j Q , her result from measuring j Q and k Q , and the state of qubits sent from Tr, Alice can determine the state of the now entangled qubits i Q and l Q . Using the state of i Q and j Q , and the result of her measure of j Q and k Q , the entangled state of i Q and l Q can be determined from Table1... ..."

### Table 5. Performance with Rule III: selecting via adaptive cluster threshold values. (a) Set II. (b) Sets IV and V.

### Table 8: Texture Example: Confusion matrix for the Clustering Based on the Selected Variables. The largest count in each row is boxed.

2006

"... In PAGE 19: ...ne-cluster model (with an error rate of 90.9%). When we use the greedy search procedure with a maximum number of 15 clusters (and only allow the unconstrained VVV model since the search space is already so large), we select 32 variables which, when clustered allowing all models, decisively choose (via BIC) the 14-cluster VVV model. The classi cation matrix for the model on the selected variables is given in Table8 below. Table 8: Texture Example: Confusion matrix for the Clustering Based on the Selected Variables.... ..."

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