### TABLE I ENRICHMENT INFORMATION FOR HIGH CONFIDENT TARGETS SELECTED BY DISTANCE CRITERION.

### Table I. The properties of the TKM and the RSOM. . Model Bmu selection criterion Weight update target

2001

Cited by 4

### Table 1. Test problems used in experiment. For each problem, the table lists its name, number of variables, number of clauses, the target weight used as a stopping criterion, and the percentage deviation of the target from the optimal solution.

### Table 1. Test problems used in experiment. For each problem, the table lists its name, number of variables, number of clauses, the target weight used as a stopping criterion, and the percentage deviation of the target from the optimal solution

### Table 1: The properties of the TKM and the RSOM. The second column is bmu selection criterion and the third column is the update rule target.

2000

Cited by 4

### Table 13 The comparison of discretization schemes on four artificial datasets Criterion Algorithm Attribute 12345678910 Dataset 1 (2 target classes)

2007

"... In PAGE 14: ... The domains of all the attributes are shown in Table 12 with the four datasets 1, 2, 3 and 4 containing 2, 3, 5, and 8 target classes, respectively. The comparison of the cair value between CAIM and CACC is presented in Table13 wherein the result of each attribute is given. Just like the results in Section 4.... ..."

### Table 4: Targeting Performance of Vaso de Leche Expenditures

"... In PAGE 14: ... A similar pattern is observed for all households, not just those with young children (Table 3). Table4 shows that the null hypothesis of no targeting is confidently rejected in the direction of targeting toward the poor (i.... In PAGE 17: ... ** indicates significance at 99% level of confidence, * at 95% level of confidence, and + at 90% level of confidence. Although the nutrition targeting coefficients presented in Table4 are positive and significant, they are considerably smaller than those found when using poverty as the targeting criterion. This follows from the degree of leakage being higher for malnutrition than ... ..."

### Table 5: Objective Function Values for Target 1

2004

"... In PAGE 15: ... Compared to the postures with target 1 provided with the objective sum method and the global criterion method, the results with the min-max method indicate a slight increase in torso bending. In turn, this results in an increase in the discomfort, as shown in Table5 . With target 2, the min-max method results in less bending of the wrist.... ..."

Cited by 1

### Table 6. Feature Importance in 3-Classes Using Entropy Criterion

2003

"... In PAGE 10: ... In most cases the results are similar to Multiple Linear Regressions or tree-based software that use statistical methods to measure feature importance. Table6 shows the importance of the six features in the 3-classes case using the En- tropy splitting criterion. Based on entropy, a statistical property called information gain measures how well a given feature separates the training examples in relation to their target classes.... ..."

Cited by 3

### Table 2: Lengths of searches for all Searchers browsing action. Such searches seem short in the table because scrolling does not constitute a \step quot; according to our de nition. On the other four targets the superior performance of the group-1 subjects is evident. The diversity of search lengths for each target con rms our observations during the experiment that the subjects were using very di erent search techniques.Table 3 shows the number of wins, losses and according to the criteria de ned in the preceding section. Criterion 2 credits active browsing with wins in 35% of the searches, which is 52% of the searches ve steps or longer. Criterion 1 credits active browsing with wins in 69% of the searches. These numbers might be somewhat in ated by the performance on StdLayer, the rst target in the experiment. This target had unusually 34

1995

"... In PAGE 34: ... Out of the total of 75 runs of all subjects on all targets, data for only 65 is available for analysis. Table2 shows the lengths of the searches required by each subject on each target, together with the number of runs and the median value for the group. The `* apos; in Table 2 indicates the search length of the automated searcher on each target (it was not run on SpecTLayer, so there is no `* apos; in that row).... ..."

Cited by 24