### Table 3: 4D models versus 3D+time models.

2005

"... In PAGE 9: ... In [WWS03] different interpretations of a 4D projection are analyzed and in [BPRS98] a graphical user interface is presented to deal with parallel projections of n-dimensional data. Table3 shows a list of both types of approaches. 3.... ..."

### Table 9: Parameters in Model D

"... In PAGE 22: ...Model D is characterized in Table9 . All chemicals are either carcinogenic in both species, or carcinogenic in neither species.... ..."

### Table 2. Continued

"... In PAGE 11: ...11 Table2 .... ..."

### Table 9. ANOVA Analysis (Fixed Main Effects Model at the 0.05 Significance Level) of the Effects of Ensemble Size on the Generalization Ability, RCV

2002

"... In PAGE 4: ...han 0.01 on the RCV scale). The same is true for models constructed with partial samples (P). (3) In most cases, there is no statistically significant difference in generalization performance between ensembles trained with full and partial samples (see column labeled F-P in Table9 ). The only exceptions were the TOP3 model in PYR1 where the full sample ensemble was better than the partial sample one by 0.... ..."

### Table 1. parameters and results of 2-D models # p

"... In PAGE 3: ...ig. 1. Initial con guration of the two-dimensional hydrodynamic evolution of the reference model (cf. model 11 in Table1 ); the geometry is cylindrical with coordinates r;z. Panels (a) and (b) show the temperature and density distributions along the vertical z axis (r = 0), across the center of the perturbation (solid lines), along with the unperturbed distributions (dashed line).... In PAGE 4: ...1. The role of the control parameters The parameters of the 2-D models we consider here are listed in Table1 , where we provide the parameters p0, h0, R and (columns 2-5), the maximum plasma density con- trast (6) and maximum downward speed (7) reached dur- ing the evolution, and in columns 8 to 15, for each of the four lines considered, the e ective speed vze = vF of the most luminous Doppler-shifted component Favg(vF ) = Fmax, and the ratio Fmax=F0 of the maximum ux to the average ux from the static component. The parameters in columns 5 and 6 are useful to characterize the evolution of the perturbations, and those in columns 7-14, although not directly comparable to measured quantities, provide an indication of the characteristic Doppler shifts.... In PAGE 6: ....1.1. Initial density contrast Small: For = 0:5 (model 10 in Table1 ), the perturba- tion radiates less, and is attenuated more e ciently by thermal conduction with respect to the reference model. The evolution is globally similar to that of the reference model, but the ow motions are slower (vmax 12 km/s), and the density contrast never in- creases signi cantly ( max 1:2).... In PAGE 6: ... In the other cooler lines, redshifted components are slow and weak (vze lt; 5 km/s, Fmax=F0 lt; 3). Large: For = 2 (model 12 in Table1 ), the perturba- tion radiates and cools down very e ciently, and its core becomes thermally unstable. The density contrast rst gets to a very high value ( 52 at t = 2 s) and then slowly decreases.... In PAGE 6: ....1.2. Radius Small: A perturbation of dimensions smaller than those of the reference model (R = 2 106 cm 0:5 h0, model 6 in Table1 ) is attenuated more e ciently by ther- mal conduction. A fast ow expands isotropically from the center of the perturbation at the beginning of the evolution (vmax 17 km/s at t 0:3 s).... In PAGE 6: ...3), but to almost no Doppler shift in the two coolest lines. Large: For R = 4 106 cm h0 (model 17 in Table1 ) the perturbation practically extends over the whole transi- tion region below T0 and is more thermally unstable. In fact, the maximum density contrast is nearly doubled with respect to the reference model, but the densest part of the perturbation, located in its lowest part, falls across a smaller distance and reaches the base of the transition region sooner.... In PAGE 6: ....e. with a higher T0. If we leave the radius R unchanged, the perturbation is rapidly cancelled by the higher thermal conduction. We will instead discuss the case of a pertur- bation with T0 = 6:5 105 K (model 20 in Table1 ), and R = 9 106 cm i.e.... In PAGE 9: ... Low: p = 0:1 dyn cm?2. The radius of the perturbation is R = 108 cm (model 26 in Table1 ), i.e.... In PAGE 9: ...g. Model 23 in Table1 ) are less controlled by thermal e ects and fall down by gravity. Because of this more stable evolution, which leads to lower density values, the maximum ux contrast in all lines (cf.... In PAGE 9: ... High: p = 10 dyn cm?2. The radius is R = 0:85 106 cm (model 33 in Table1 ), i.e.... In PAGE 11: ...re distributed in the plane ? R. In Fig.7, the vertical e ective speed (vF ) of the most intense line component, synthesized from the two-dimensional models at pressure p = 3 dyn cm?2, is shown in grey scales for each of the four UV lines (cf. Table1 ). In the same pictures we show the contours of the maximum ux contrast Fmax=F0 with respect to the static component.... In PAGE 12: ...ig. 6. Maximum vertical downward speed (grey scale) and maximum density contrast (contours) during the evolution vs the initial density contrast ( ) and radius (R) for the 2-D models with ambient pressure p = 3 dyn cm?2 (a) and p = 0:1 dyn cm?2 (b), and for the 1-D models with ambient pressure p = 3 dyn cm?2 (c) (cf. also Table1 ) The approximate boundary between thermal stability and instability as described by the equation (4) (dashed lines) is shown for the 2-D models of panels (a) and (b). ( 1, R 2 106 cm), with low Fmax=F0 ( 1).... ..."

### Table 8. ANOVA Analysis (Fixed Main Effects Model at the 0.05 Significance Level) of the Effects of the Number of Hidden Units on the Generalization Ability, RCV

2002

### Table II. Average Percentage Error of the 3D models

2003

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### Table 4 Comparison for the Seven Body Mechanism (2D model)

1995

"... In PAGE 13: ... The second approach is to solve Equation (6) for the Lagrange multipliers and then recover the acceleration. The systems of linear equations were solved 1000 times and the timing results, for both mechanisms (the chain of 50 pendulums and the seven body mechanism) are given in Table 3 and Table4 . Note that, for the second method, the best joint numbering scheme was used.... ..."

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### Table 5 Comparison for the Seven Body Mechanism (3D model)

1995

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### Table 1 Statistics about the 3D models in the manufacturing classification dataset

"... In PAGE 4: ... Fig. 3 shows a sample of this dataset, and Table1 shows a brief summary of this dataset. http:// www.... ..."

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