### Table 3 Tests to reach criterion for test sets

"... In PAGE 11: ... One measure of learning facility is how quickly par- ticipants passed the criterion of a perfect score on one test. As seen in Table3 , the mean number of tests to reach criterion was smaller for experts than for novices on all four test sets. The difference between experts and novices was not significant for any one test set alone, but was significant when all four sets were considered together, t(90) 2.... ..."

### TABLE 3 Edge Connectivity Sets for the Karate Club

### Table 3: Parameter settings

1994

"... In PAGE 7: ... However, for our scale-up experiments, we generated datasets with up to 10 million transactions (838MB for T20). Table3 summarizes the dataset parameter settings. For the same jTj and jDj values, the size of datasets in megabytes were roughly equal for the di erent values of jIj.... In PAGE 7: ...Figure 4 shows the execution times for the six synthetic datasets given in Table3 for decreasing values of minimumsupport. As the minimumsupport decreases, the execution times of all the algorithms increase because of increases in the total number of candidate and large itemsets.... In PAGE 11: ...20.I6.D100K. All other parameters were the same as for the data in Table3 . We ran experiments for a minimum support at 0.... ..."

Cited by 1732

### Table 7. Summary of the performance of the baseline system incorporat- ing different pruning, recognition and search techniques*

2003

"... In PAGE 19: ... Figure 10 illustrates the performance of the distributed recognition scheme according to the number of processors/threads used. Table7 presents a summary of the results obtained by using the recognition/search strategies discussed in this section. Discussion A full performance evaluation of each method presented earlier in this survey was not the aim of this case study.... ..."

Cited by 15

### TABLE V Results obtained by ACS-3-opt on ATSP problems taken from the First International Contest on Evolutionary Optimization. We report the length of the best tour found by ACS-3-opt, the CPU time used to find it, the average length of the best tour found and the average CPU time used to find it, the optimal length and the relative error of the average result with respect to the optimal solution.

1997

Cited by 366

### TABLE V Results obtained by ACS-3-opt on ATSP problems taken from the First International Contest on Evolutionary Optimization [5]. We report the length of the best tour found by ACS-3-opt, the CPU time used to find it, the average length of the best tour found and the average CPU time used to find it, the optimal length and the relative error of the average result with respect to the optimal solution.

1997

Cited by 366

### TABLE V Results obtained by ACS-3-opt on ATSP problems taken from the First International Contest on Evolutionary Optimization [5]. We report the length of the best tour found by ACS-3-opt, the CPU time used to find it, the average length of the best tour found and the average CPU time used to find it, the optimal length and the relative error of the average result with respect to the optimal solution.

1997

Cited by 366

### Table 2. Number of plots and the means, standard deviations, and ranges of fractal dimension estimates by region.

"... In PAGE 5: ... 3.2 Analysis of estimated models Initial analysis of the estimated models using the first set of data from region 1 ( Table2 ) did not pro- vide definitive information to decide whether the estimated regressions were all similar. The differ- ence in x2 values for the estimated unrestricted and partially restricted models was 5.... In PAGE 5: ... Region 1 included plots from both interior and coastal Alaska whereas region 2 plots were from the interior and region 3 plots were from southeast coastal Alaska. A second, independent sample was drawn from region 1 ( Table2 ). It was felt that if the second esti- mated model for region 1 proved to be similar to the first estimated model,-then observer learning could ... ..."

### TABLE 4: Average Native (Zn), Native Repacked (Znr), Low RMSD (Zlrm) Z scores, and the Number of Successful Discriminations (#SD, defined as Z score gt; 1) for the Energy Functions in the Left Columna

2003

Cited by 4

### Table 7: Percentage of Children Under Five in VL Program (percent)

"... In PAGE 17: ... Turning to nutrition-based targeting, the VL program also is concentrated on households with low nutritional status of children. This is illustrated in Table7 , where coverage rates of all children under five years of age are presented by quintile of height-for- age z-scores (HAZ) for the three household surveys with information on both VL participation and anthropometric status of children. In 1997, for example, 64 percent of the children in the least well-nourished quintile lived in households that received VL food transfers, while just over 30 percent were in the most nourished quintile.... ..."