### Table 5: Average distances

1997

"... In PAGE 10: ... 3 Discussion The average distance between CGEs is a good metric to explain the effectiveness of granularity analysis on boyer, and other programs as studied in [8]. Table5 shows the average distances for these programs with no granularity control as a function of abstract machine instructions: i.... ..."

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### Table 4. Distance information.

"... In PAGE 4: ... Be- sides it is possible to give information about the distance of the cases to the decision surface. Table4 shows for both cases the distance to the decision surface compared to the theoretical maximum distance (distance to leaf C1) and to the norm of the standard error vector. We can see that Case 188 is very close to the decision surface.... ..."

### Table 4. Distance information.

"... In PAGE 5: ... Be- sides it is possible to give information about the distance of the cases to the decision surface. Table4 shows for both cases the distance to the decision surface compared to the theoretical maximum distance (distance to leaf C1) and to the norm of the standard error vector. We can see that Case 188 is very close to the decision surface.... ..."

### Table 2: The distance matrix

"... In PAGE 3: ...5 Examples Lets consider the example of the Middle East con ict. The distances between agents could be showed nu- merically as the distance matrix ( Table2 ) and in qual- itative way as the discernibility matrix (Table 3). 2.... ..."

### Table 3: Manhattan Distance

"... In PAGE 5: ...From the Table3 , we can see that Manhattan distance is symmetric and re exive. These proper- ties satisfy the criteria of similarity function.... ..."

### Table 19 : Transport distances

2003

"... In PAGE 18: ...able 18 : Internal costs, external costs and total social costs (high pop. density)........................75 Table19 : Transport distances .... ..."

### Table 1: Distance Measures

1995

"... In PAGE 4: ... This result assures the computability of the KL-measure for HMMs used in real applications. In Table1 the different HMM distance measures are compared to each other. We used a model for the german digit Neun as reference and calculated the distance to the phonetically similar word Nein , the digits Null and Eins and the very dissimilar words Zwo and Acht .... ..."

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### Table 2: Commuting distance

"... In PAGE 12: ...5 minutes for workers who do not work from home).23 Further, they have a shorter commuting distance (see Table2 ). The preferred measure of the length of the commute is commuting distance, because commuting time is influenced by the endogenously chosen speed which may differ between employees and self-employed.... In PAGE 14: ... In line with the theoretical model, we find that the excess commute is larger in less urban areas. As can be see in column (3) of Table2 , the elasticity of address density on the excess commute is 0.... In PAGE 24: ...046 (0.008) 17 sectors Included Occupations (83) Included Log Likelihood -10880 N 33902 Note: The explanatory variable Log (commuting distance) is the midpoint of the commuting distance class as reported in Table2... ..."

### Table 1: Distances

2005

"... In PAGE 7: ...Table 1: Distances mod(K3)={(0, 0, 0, 0)} mod(K4)={(1, 1, 1, 0), (0, 1, 1, 0)} The computations are reported in Table1 . The shadowed lines correspond to the in- terpretations rejected by the integrity constraints.... ..."

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### Table 1 Distance parameters.

2006

"... In PAGE 15: ... The performance of the DTS algorithms were tested using different values for these parameters through many test functions. The suggested values of these parameters are given in Table1 , and rSTR is set equal to 2rTR. The performance of the DTS algorithms were almost insensitive with regard to all tested values of the distance parameters.... In PAGE 15: ... The performance of the DTS algorithms were almost insensitive with regard to all tested values of the distance parameters. In Table1 , we also suggest the value for each parameter which produces the best performance. For more efficient search, the step sizes may be randomly chosen close to some fixed mean values, rather than being set at fixed values.... ..."

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