### TABLE 3. Current and potential future vegetation types in the Alaskan Arctic and the impact of this vegetation change on summer energy absorption and surface energy exchanges. Rnet (net radiation), SEs reflect projected interannual variability based on annual variation SE of global radiation at Toolik Lake.

1999

### Table 3: Upperbounds of the treewidth for various small benchmarks (addm and hwb from SAT03 competition; bridge fault, dubois, phole, parity and pret from www.satlib.org; and lksat and unif from SAT04 competition). Data for reduction r1 is left out in case r0 = r1 on the benchmark. For each benchmark the best upperbound for the variable-based graph and the best upperbound for the clause-based graphs is shown in bold. vig(F) cvg(F) cg(F) rg(F) srg(F)

"... In PAGE 29: ...0 GHz CPU and 1 Gb of memory running on Fedora Core 4. Table3 shows for all five graphs upperbounds on the treewidth, while Table 4 shows the run-times. Two interesting observations can be made regarding this data.... ..."

### Table 1. Attributes used in the medical prognosis problem. (*) Parameters that di ers from the ones originally used for SAPS-II computation The dataset (2020 records) was randomly split in a learning set (1020 records) and in a validation set (1000 records) and all the data were normalized.

1995

"... In PAGE 9: ...Medical Prognosis Test Case The problem is to estimate the risk of death for patients in intensive care units, starting from a a set of physiological variables (see Table1 ) measured on a patient at its arrival in the hospital. The state-of-the-art method currently used for predicting the outcome, from this physiological variables, is based on the Simpli ed Acute Physiology Score (SAPS-II) [7], a statistical method for evaluating the severity of the patient status.... ..."

Cited by 2

### Table 3: Original New York and Norwegian Problems - Multicommodity Formulation

1998

"... In PAGE 23: ...7 0.00 2626 Table 2: Original New York and Norwegian Problems { Capacity Formulation Multicommodity Formulation: In Table3 below, LP denotes the value of the rst linear program (which includes the degree constraints) XLP is the value after adding cutting planes, cut is the total time spent by the cutting plane algorithm, UB-H is the value of the upper bound found by the heuristic, P-GAP is the percent gap between the best upper and lower bounds for the restricted problem, heur is the time spent by the heuristic, BLB, BUB, and bb are the best lower and upper bound found and time obtained by branch-and-bound on all the columns. GAP is the percent gap between the best upper and lower bounds found by the overall algorithm, and Total is the overall running time.... ..."

Cited by 43

### Table 11.9: Comparison of correlations in absolute and normalised variables based on an unrestricted data set, for female speech. Coefficients printed in bold are significant at p lt; .001; coefficients printed as plain text are significant at p lt; .01; and coefficients printed in brackets are significant at p lt; .05. R2 is the fraction of the total variance in the acoustic parameter explained by the emotion dimensions.

### Table 11.10: Comparison of correlations in absolute and normalised variables based on an unrestricted data set, for male speech. Coefficients printed in bold are significant at p lt; .001; coefficients printed as plain text are significant at p lt; .01; and coefficients printed in brackets are significant at p lt; .05. R2 is the fraction of the total variance in the acoustic parameter explained by the emotion dimensions.

### Table 11.11: Comparison of correlations in absolute and normalised variables based on a restricted data set, for female speech. Only neutral clips with a distance lt; 15/100 from the center are included. Coefficients printed in bold are significant at p lt; .001; coefficients printed as plain text are significant at p lt; .01; and coefficients printed in brackets are significant at p lt; .05. R2 is the fraction of the total variance in the acoustic parameter explained by the emotion dimensions.

### Table 11.12: Comparison of correlations in absolute and normalised variables based on a restricted data set, for male speech. Only neutral clips with a distance lt; 15/100 from the center are included. Coefficients printed in bold are significant at p lt; .001; coefficients printed as plain text are significant at p lt; .01; and coefficients printed in brackets are significant at p lt; .05. R2 is the fraction of the total variance in the acoustic parameter explained by the emotion dimensions.

### Table 1: Experimental results. 1st column shows total number of variables per frame and number of deterministic variables. Base:Baseline, MH:multiple heuristics, GA:genetic algorithm, all times in seconds. The speedups, MH, GA are Utterance Time ratios Base/MH, Base/GA. fail indicates that all Baseline triangulations were not decodable within the available memory

### Table 2: Original New York and Norwegian Problems { Capacity Formulation

1998

"... In PAGE 22: ... We next present a key to these tables. Capacity Formulation: In Table2 , the size of problems are speci ed by the number of nodes jV j; the number of arcs jAj , and number of demand pairs jKj. XLP is the lower bound obtained at the root node of the branch-and-cut tree.... ..."

Cited by 43