### Table 1. The removal order of regressors via A-/D- optimality and basis pursuit cost function (Example 1).

2004

"... In PAGE 6: ... In Figure 1, the model MSE were plotted versus the pruning steps. All of them converge to the same MSE after 6 regressors were removed, after following some different paths, as shown in Table1 . Each procedure can be automatically terminated via detecting the sign change in maximum values of a3 a39 a53 , a3 a44 a53 , a3 a0 a53 (from positive to negative).... In PAGE 7: ... After following different paths, for A-/D-optimality based algorithms 5 regressors were removed, and for basis pursuit based algorithms 6 regressors were removed, as shown in Figure 2, where the stopping point is one step later. The index of these removed regressors and when they were removed are list in Table1 . Clearly there are some common regressors that are removed for different approaches.... ..."

Cited by 1

### Table 2. The removal order of regressors via A-/D- optimality and basis pursuit cost function (Example 2).

2004

Cited by 1

### Table 1. Comparative Training Performances for the Eigenface, MDF, and Evolu- tionary Pursuit Methods Using 18 and 26 Basis Vectors, respectively method \features 18 26

1998

"... In PAGE 12: ... Note that once EP found a reduced subset of basis vectors, the same number of projection axes was used by both the eigenface and MDF methods for comparison purposes (see Tables 1, 2 and 3). Table1 shows comparative training performance, while Tables 2 and 3 give comparative testing performance. In Table 2 and 3, top 1 recognition rate means the accuracy rate for the top response being correct, while top 3 recognition rate represents the accuracy rate for the correct response being included among the rst three ranked choices.... In PAGE 13: ...14% 97.02% Table1 gives the comparative training performances of Eigenface, MDF, and Evolutionary Pursuit methods with 18 and 26 basis vectors, respectively, and one can see that the training performances for MDF method is perfect (100% correct recognition rate). During testing (see Tables 2 and 3) and using 369 test images (not used during training), the performance displayed by the MDF method, however, deteriorates as it lacks a good generalization ability.... ..."

Cited by 10

### Table 1 Index terms list

2005

"... In PAGE 13: ... The results are shown in Table 11. In Table1 0, the results indicate that the proposed algorithm outperforms the other two algorithms in all situations. Among these three algorithms, ANN outper- forms SW, and SW outperforms GM.... ..."

### Table 1. Companies in the database. They provide the basis for the dividend index:

"... In PAGE 5: ... 2.1 Dividends The dividend yield is estimated on the basis of a large sample of stocks listed below in Table1 . These stocks represent the five sectors on the exchange, namely banking, insurance, services, shipping and industry.... ..."

### Table 10. A list of indexes of price fluctuations calculated on the basis of the analysed

in AUTHORS:

2002

### Table 1. (cont.) Sporadic Examples of Zw of Index 1 I 10 Index w

"... In PAGE 19: ...Table1 . Sporadic Examples of Zw of Index 1 I 10 Index w Monomials of fw d b2 K-E 1 (1,2,3,5) z10 0 ; z5 1; z3 2z1; z2 3; : : : (17) 10 9 ? 1 (1,3,5,7) z15 0 ; z5 1; z3 2; z2 3z0; : : : (19) 15 9 ? 1 (1,3,5,8) z16 0 ; z5 1z0; z3 2z0; z2 3; : : : (20) 16 10 ? 1 (2,3,5,9) z9 0; z6 1; z3 2z1; z2 3; : : : (13) 18 7 Y 1 (3,3,5,5) g5(z0; z1); f3(z2; z3) 15 5 Y 1 (3,5,7,11) z6 0z2; z5 1; z2 2z3; z2 3z0; : : : (8) 25 5 Y 1 (3,5,7,14) z7 0z2; z5 1z0; g2(z2 2; z3); : : : (9) 28 6 Y 1 (3,5,11,18) g2(z6 0; z3); z5 1z2; z3 2z0; : : : (10) 36 6 Y 1 (5,14,17,21) z7 0z3; z4 1; z3 2z0; z2 3z1; z5 0z1z2 56 4 Y 1 (5,19,27,31) z10 0 z3; z4 1z0; z3 2; z2 3z1; z7 0z1z2 81 3 Y 1 (5,19,27,50) z20 0 ; z10 0 z3; z2 3; z5 1z0; z3 2z1; z7 0z2 1z3 100 4 Y 1 (7,11,27,37) z10 0 z1; z4 1z3; z3 2; z3 3z0 81 3 Y 1 (7,11,27,44) z11 0 z1; z3 2z0; z8 1; z4 1z3; z2 3; z4 0z3 1z2 88 4 Y 1 (9,15,17,20) z5 0z1; z4 1; z3 2z0; z3 3 60 3 Y 1 (9,15,23,23) z6 0z1; z4 1z0; z3 2; z2 2z3; z3; z2z2 3; z3 3 69 5 Y 1 (11,29,39,49) z8 0z2; z4 1z0; z3 2; z2 3z1 127 3 Y 1 (11,49,69,128) z17 0 z2; z5 1z0; z4 2; z2 2z3; z2 3 256 2 Y 1 (13,23,35,57) z8 0z1; z4 1z2; z2 2z3; z2 3z0 127 3 Y 1 (13,35,81,128) z17 0 z1; z5 1z2; z3 2z0; z2 3 256 2 Y 2 (2,3,4,5) z6 0; z4 1; z3 2; z2 3z0; : : : (10) 12 5 ? 2 (2,3,4,7) z7 0; z4 1z0; z3 2z0; z2 3; : : : (11) 14 6 ? 2 (3,4,5,10) z5 0z2; z5 1; z4 2; z2 3; : : : (9) 20 5 Y 2 (3,4,6,7) g3(z2 0; z2); z3 1z2; z2 3z1; z0z3z2 1; z2 0z3 1 18 6 ? 2 (3,4,10,15) z10 0 ; z5 1z3; z3 2; z2 3; : : : (10) 30 7 Y 2 (3,7,8,13) z7 0z2; z3 1z2; z2 2z3; z2 3z0; z5 0z1; z3 0z1z3; z2 0z1z2 2 29 5 ? 2 (3,10,11,19) z10 0 z3; z3 1z2; z2 2z3; z2 3z0; z7 0z2 1; z4 0z1z3; z3 0z1z3 2 41 5 ? 2 (5,13,19,22) z7 0z3; z4 1z0; z3 2; z2 3z1; z5 0z1z2 57 3 Y 2 (5,13,19,35) z14 0 ; z7 0z3; z2 3; z5 1z0; z3 2z1; z5 0z2 1z2 70 3 Y 2 (6,9,10,13) z6 0; z4 1; z3 2z0; z2 3z2; z3 0z2 1 36 4 Y 2 (7,8,19,25) z7 0z1; z4 1z3; z3 2; z2 3z0; z2 0z3 1z2 57 3 Y 2 (7,8,19,32) z8 0z1; z8 1; z4 1z3; z2 3; z3 2z0; z0z3 2; z3 0z3 1z2 64 4 Y 2 (9,12,13,16) z4 0z1; z4 1; z3 2z0; z3 3 48 3 Y 2 (9,12,19,19) z5 0z1; z4 1z0; z3 2; z2 2z3; z2z3 3; z3 3 57 5 Y 2 (9,19,24,31) z9 0; z3 1z2; z3 2z0; z2 3z1 81 3 Y 2 (10,19,35,43) z7 0z2; z5 1z0; z3 2; z2 3z1 105 3 Y 2 (11,21,28,47) z7 0z2; z5 1; z3 2z1; z2 3z0 105 3 Y 2 (11,25,32,41) z6 0z3; z3 1z2; z3 2z0; z2 3z1 107 3 Y 2 (11,25,34,43) z10 0 ; z4 1z0; z2 2z3; z2 3z1 111 3 Y 2 (11,43,61,113) z15 0 z2; z5 1z0; z3 2z1; z2 3 226 2 Y 2 (13,18,45,61) z9 0z1; z5 1z2; z3 2; z2 3z0 135 3 Y... In PAGE 22: ... But I I?n D 2 j ? KZwj so this completes the proof of the lemma. The analysis of most of the sporadic examples of Table1 is easily done with help of Corollary 3.7 which can restated for this purpose as: Corollary 5.... In PAGE 31: ...f degree wi. The simplest situation occurs when f1 = f2 = f3 are forced to vanish. Then Gw = (C )3 is the smallest it can possibly be as P(w) is toric. This is, in fact, common to many examples of the log del Pezzo suraces of Table1 . More precisely, we have Lemma 7.... In PAGE 33: ...As mentioned previously for the log del Pezzo surfaces with a Y in the last column of Table1 and the tables of Theorem 4.5, there is a unique homothety class of Kahler-Einstein metrics corresponding to each point of Md w: But the question remains whether two inequivalent Kahler-Einstein structures can share the same Riemannian metric.... ..."

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### Table 1: Bolivian Terms of Trade Index ..

"... In PAGE 34: ...STATISTICAL APPENDIX Table1 : Bolivian Terms of Trade Index, 1980-92 (1987=100) Year Export price index hbport price index Ternn oftrade index 1980 181.0 91.... ..."