### TABLE I THE APPROXIMATION ERRORS.

2006

Cited by 2

### Table 2 Measures, approximation errors, and expected approximation errors Measure Approximation error Expected approximation error

### Table 3. The approximation error for the corresponding

"... In PAGE 6: ....e. a 5x5 window around the central point. For the training sets, we placed templates around 10 points whichwere obtained from the ground truth. As one can see from Table3 the Cauchy distribution had the best t to the real noise distribution relativeto L 1 and L 2 . Therefore, one expects the accuracy to be the greatest when using L c (Table 4).... ..."

### Table 3: Avg. Distance Approximation Error

2004

"... In PAGE 4: ...5.2 Distance Approximation Error Table3 shows the average percent difference between the lengths of paths on simplified graphs as compared to actual data set (b) B-C Degree HITS Random c-erdos972 (10) 20% 20% 34% 18% hep-th (10) 24% 24% 41% 17% protein-bo (6) 18% 16% 26% 13% Table 3: Avg. Distance Approximation Error... ..."

Cited by 9

### Table 3: Avg. Distance Approximation Error

2004

"... In PAGE 4: ...5.2 Distance Approximation Error Table3 shows the average percent difference between the lengths of paths on simplified graphs as compared to actual data set (b) B-C Degree HITS Random c-erdos972 (10) 20% 20% 34% 18% hep-th (10) 24% 24% 41% 17% protein-bo (6) 18% 16% 26% 13% Table 3: Avg. Distance Approximation Error... ..."

Cited by 9

### Table 1. One-step approximation error

1998

"... In PAGE 10: ....2. Results of experiments. Results of experiments for the one-step and multi- step approximation errors are shown in Table1 and Table 2 respectively. For all cases, the errors induced by the LL method are much smaller than the errors induced by the Euler method.... ..."

Cited by 6

### Table 2. Multi-step approximation error

1998

"... In PAGE 10: ....2. Results of experiments. Results of experiments for the one-step and multi- step approximation errors are shown in Table 1 and Table2 respectively. For all cases, the errors induced by the LL method are much smaller than the errors induced by the Euler method.... ..."

Cited by 6

### Table 5 Approximation error by the CMAC with constant weights

2002

"... In PAGE 15: ....2.1 Global Approximation In this experiment of modelling smooth nonlinear functions, it was observed that the CMAC with LF weights outperforms the CMAC with constant weights in terms of their global approximation ability. The approximation errors of typical runs of the CMAC with constant weights and the CMAC with LF weights (with the same structural parameter settings) are shown in Table5 and Table 6, respectively. As shown in Table 5, the CMAC with constant weights cannot achieve the preset RMSE of 0.... ..."