### Table 2. Uncertainty of motif estimators

2007

"... In PAGE 5: ... Here, to examine the uncertainty associated with the motif estimators employed by the phylogenetic Gibbs sampler, we measured the Hamming distance between the predicted sites (in the centroid or MAP solutions) and those in the samples drawn by the sampler, where the Hamming distance gives the number of differences in predicted sites between two alignments (sampled/predicted sites in a sequence or MASS). Table2 gives the mean, taken over the samples, of the Hamming distances, as well as the average number of sites predicted by both estimators in these simulations. Table 2 shows that the mean distances from MAP solutions to the samples are consistently larger than those between the centroids and the samples.... In PAGE 5: ... Table 2 gives the mean, taken over the samples, of the Hamming distances, as well as the average number of sites predicted by both estimators in these simulations. Table2 shows that the mean distances from MAP solutions to the samples are consistently larger than those between the centroids and the samples. This is not surprising, since the centroid estimator minimizes these differences.... ..."

### Table 4 Comparisons of Energy Consumption between TOM and TrainSim Distance TOM Estimate TrainSim Estimate Difference

"... In PAGE 12: ... 5.2 Comparisons of Results Table4 shows the energy consumption estimated from TOM and TrainSim for each section, as well as the difference between them. It is found that the results are quite close.... ..."

### Table 9: Probabilities in Simulated Training of the Diagnostic System

"... In PAGE 22: ... The ages of the lamp and filter optics were 45 and 60 days respectively, and their characteristic lives are 45 days and 120 days, respectively. This evidence fitted best the category of evidence shown in Table 8: The original estimates of the fault probabilities for the fault space are listed in Table9 :, along with their ranges calculated at a 90% level of confidence. We have assumed that this database is being used on a new machine, with no prerecorded history, that actually has a different set of problems.... ..."

### Table 1: Simulation results for nominal distances 400 and 600 units.

1998

"... In PAGE 7: ... All point- and camera-parameters were estimated with the method described above. The results of the experiments are shown in Table1 and Table 2. For each nominal distance, independent Gaussian noise was added to the image coordinates with different levels of stan- dard deviation .... ..."

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### Table 12. Risk-Estimate Distances for Aircraft Delivered Ordnance

1997

"... In PAGE 10: ...able 11. Distance Conversion Table .......... 48 Table12 . Risk-Estimate Distances for Aircraft Delivered Ordnance .... In PAGE 68: ...RELATIONSHIPS BETWEEN WEAPON IMPACTS AND POINT OF INTERSECTION For all determinations in Table12 , the position of a prone man was assumed to be on a line perpendicular to the line of flight (or line of weapon impacts) at the midpoint of the line (stick) of weapons. For all sticks of weapons, a weapon was assumed to impact at the point of intersection of these two lines.... In PAGE 71: ... Table12 . (Continued) Warning: Risk-estimate distances are for combat use and are not minimum safe dis- tances for peacetime training use.... ..."

### Table 2: Average error on the test set per pair using the four parametric distance functions. TRAINING TEST ESTIMATOR PARAMETERS ERROR ERROR

"... In PAGE 13: ...1. The results using distance functions are given in Table2 . Observe that the rectilinear distance metric has the worst performance.... ..."

### Table 3-2. Samples of ETMS Data in the Distance Distribution Estimation

2001

"... In PAGE 9: ...raffic.............................................................................................................................2-15 Table3 -1.... In PAGE 9: ...able 3-1. Percentiles of Average Daily GA Operations at TAF Airports............................3-1 Table3 -2.... In PAGE 9: ...able 3-2. Samples of ETMS Data in the Distance Distribution Estimation.........................3-4 Table3 -3.... In PAGE 9: ...able 3-3. Distance (nmi) Statistics for Combined Data Sets................................................3-6 Table3 -4.... In PAGE 9: ...able 3-4. Model Parameters for Weibull Distribution .........................................................3-6 Table3 -5.... In PAGE 9: ...able 3-5. Estimated Distance (nmi) Statistics Using a Weibull Distribution......................3-6 Table3... In PAGE 30: ... However, typical airports have an average of only 13 operations a day, or about one an hour. Table3 -1 shows the average total itinerant GA operations for all TAF airports in 1998. Table 3-1.... In PAGE 30: ... Table 3-1 shows the average total itinerant GA operations for all TAF airports in 1998. Table3 -1. Percentiles of Average Daily GA Operations at TAF Airports Cumulative distribution (%) 1 5 255075909599 Percentile 0.... In PAGE 32: ... GA FLIGHT PROFILE Distance Distributions We need to construct the probability distribution function, based on ETMS, for single engine, multi-engine, and jet equipment categories. We selected 12 ETMS samples, shown in Table3 -2, to include different seasons, days of the week, and... In PAGE 35: ... The parameters for the combined sample are shown in Table 3-3. Table3 -3. Distance (nmi) Statistics for Combined Data Sets Single engine Multi-engine Jet engine Mean 227.... In PAGE 35: ...18 3.99 Table3 -4. Model Parameters for Weibull Distribution Single engine Multi-engine Jet engine Scale 237 289 826 Shape 1.... In PAGE 35: ...16 1.14 Table3 -5. Estimated Distance (nmi) Statistics Using a Weibull Distribution Single engine Multi-engine Jet engine Mean 227.... In PAGE 38: ... Users can choose their own profile for any airport in the system. Table3 -6. Time-of-day Probability Distribution Function Used in the Simulation Time Prob- ability Time Prob- ability Time Prob- ability Time Prob- ability 0 0.... ..."

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### Table 3-2. Samples of ETMS Data in the Distance Distribution Estimation

2001

"... In PAGE 9: ...raffic.............................................................................................................................2-15 Table3 -1.... In PAGE 9: ...able 3-1. Percentiles of Average Daily GA Operations at TAF Airports............................3-1 Table3 -2.... In PAGE 9: ...able 3-2. Samples of ETMS Data in the Distance Distribution Estimation.........................3-4 Table3 -3.... In PAGE 9: ...able 3-3. Distance (nmi) Statistics for Combined Data Sets................................................3-6 Table3 -4.... In PAGE 9: ...able 3-4. Model Parameters for Weibull Distribution .........................................................3-6 Table3 -5.... In PAGE 9: ...able 3-5. Estimated Distance (nmi) Statistics Using a Weibull Distribution......................3-6 Table3... In PAGE 30: ... However, typical airports have an average of only 13 operations a day, or about one an hour. Table3 -1 shows the average total itinerant GA operations for all TAF airports in 1998. Table 3-1.... In PAGE 30: ... Table 3-1 shows the average total itinerant GA operations for all TAF airports in 1998. Table3 -1. Percentiles of Average Daily GA Operations at TAF Airports Cumulative distribution (%) 1 5 255075909599 Percentile 0.... In PAGE 32: ... GA FLIGHT PROFILE Distance Distributions We need to construct the probability distribution function, based on ETMS, for single engine, multi-engine, and jet equipment categories. We selected 12 ETMS samples, shown in Table3 -2, to include different seasons, days of the week, and... In PAGE 35: ... The parameters for the combined sample are shown in Table 3-3. Table3 -3. Distance (nmi) Statistics for Combined Data Sets Single engine Multi-engine Jet engine Mean 227.... In PAGE 35: ...18 3.99 Table3 -4. Model Parameters for Weibull Distribution Single engine Multi-engine Jet engine Scale 237 289 826 Shape 1.... In PAGE 35: ...16 1.14 Table3 -5. Estimated Distance (nmi) Statistics Using a Weibull Distribution Single engine Multi-engine Jet engine Mean 227.... In PAGE 38: ... Users can choose their own profile for any airport in the system. Table3 -6. Time-of-day Probability Distribution Function Used in the Simulation Time Prob- ability Time Prob- ability Time Prob- ability Time Prob- ability 0 0.... ..."

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### TABLE II MSE Values from Computer Simulations of DVQ on Video Images with Codebooks of Varying Size Codebook Size

1995

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### Table 2. Performance of Distance Computa- tion

in Distance computation between non-convex polyhedra at short range based on discrete voronoi regions

2000

"... In PAGE 5: ... In terms of dynamics simulation, it can be useful to extend the algorithm to treat penetration as minus distance in estimating the instance of collision. Table2 shows the comparison of the distance computa- tion cost with the PQP library [5]. Our implementation is about 3.... ..."

Cited by 3