### Table 5: Numeric Data Types

"... In PAGE 4: ... They are minimum, minimum + resolution, midpoint, maximum - resolution, and maximum. The quot;outofbounds quot; invalid subdomains in Table5 causes the generation of two invalid samples:... ..."

### Table 2: Parameters for numerical examples BOM type

"... In PAGE 12: ... The example sets included large BOMs corresponding to assemblies of three different types. Typical parameters for the three types of complex assembly BOMs used are presented in Table2 . Two... In PAGE 13: ...of manufacturing and material handling operations. Table2 around here For all the examples, the part, BOM, routing, cell, and workcenter structure data were generated at random from uniform distributions with specified ranges. For each case of the BOM structure (defined in Table 2), the facility consisted of five to nine cells for the first set of examples, and two to five cells for the second set of examples.... In PAGE 13: ... Table 2 around here For all the examples, the part, BOM, routing, cell, and workcenter structure data were generated at random from uniform distributions with specified ranges. For each case of the BOM structure (defined in Table2 ), the facility consisted of five to nine cells for the first set of examples, and two to five cells for the second set of examples. In each cell, there were one to three workcenters, each with one to two identical machines.... ..."

### Table 6: Other types of data: numerical values

2003

Cited by 21

### Table 1: Numerical results for difierent classifler types on the Oesophagus data set.

"... In PAGE 10: ... We compared the accuracy performance of the two types of classiflers using a compound (one-dimensional) class variable and using a three-dimensional class variable. The results are presented in Table1 . The accuracy of the best learned classifler is given in the second column.... ..."

### Table 1: Numerical relation between the different types of rules in rulebase

2004

Cited by 10

### TABLES Numerical Inversion Experiments Experiment type DSO OLS

1997

Cited by 2

### Table 7.3: Numerical values substituted for the content type.

### Table 3 Numerical results for type (i) double-barrier problems (constant boundaries).

"... In PAGE 9: ... For the type (i) problems, the computation time of our bounds was between 0:18 and 0:24 seconds. In Table3 Kunitomo amp; Ikeda (1992) give a gure of 10:86 for problem (ii-8), which is not consistent with our bounds. Our implementation of their method gives 10:831.... ..."

### Table 7 Numerical results for type (iii) double-barrier problems (linear boundaries).

"... In PAGE 9: ... Here computation time is between 0:22 and 0:47 seconds. In Table7 we consider type (iii) problems, including those considered by Rogers amp; Zane (1997). The gures reported in Rogers amp; Zane (1997) for problems (iii-4) and (iii-5) are signi cantly di erent from our bounds.... ..."