### Table 3: Distributed representations of assertions

### Table 8.1: Joint distribution representation of four fair tosses

### Table 8.2: Independent distribution representation of four fair tosses

### Table 6 Autoregressive distributed lag representation for kpr (standard errors in brackets)

"... In PAGE 19: ... Leaving this question aside for the time being, the starting point for the conditional analysis is an unrestricted autoregressive-distributed lag specification apos;8 for kpr, including the current and two lagged values of the conditioning variables, plus the linear time trend. The OLS estimation results appear in Table6 . While the equation is clearly overparameterized, and individual coefficients are in some cases estimated imprecisely, the long-run solution is well-determined.... In PAGE 19: ... In addition, real credit to the private sector also affects the private capital stock positively, while the relative price of capital has the expected negative effect. The bottom half of Table6 reports a battery of diagnostic tests that reveal no signs of misspecification. According to the test statistics, the residuals show no traces of autocorrelation or auto- regressive conditional heteroskedasticity (ARCH), and Ramsey apos;s RESET test detects no functional form misspecification.... In PAGE 19: ... At most, the Jarque-Bera statistic provides some mild suggestion of non-normality of the residuals. The unrestricted equation in Table6 can be re-arranged and simplified to arrive at an error-correction specification describing both the dynamics of the capital stock and its long-run determinants, along the lines of equation (13) above. This leads to the following model (standard errors in brackets):... In PAGE 20: ...893 SEE = 0.41% Sample: 1962/63-1993/94 The simplifications introduced in equation (15) relative to the GUM model of Table6 are easily accepted by the data (F(4, 16) = 0.... In PAGE 22: ...e., its consistency, as well as the validity of the standard errors and testing procedures reported in Table6 and equation (15) above -- depend crucially on whether the conditioning variables can be taken as weakly exogenous for the parameters of interest. The relevant notion of weak exogeneity depends on the particular choice of apos;parameters of interest apos;.... ..."

### Table A.3: Classification accuracy and coverage on the Profession2 dataset with the probability distribution representation.

2005

Cited by 2

### Table A.9: Classification accuracy and coverage on the Education2 dataset with the probability distribution representation.

2005

Cited by 2

### Table 2: Distributed representation of relations developed by an autoassociative network input hidden output

1993

Cited by 1

### Table 7 (b) reveals that, in the case of both local and distributed representations, category

"... In PAGE 27: ...3( apos;4KCTG apos;). As Table7 (b)indicates,categoryA instancesthat shared few symbols with stringsin categoryB were recognizedmore quickly(i.e.... ..."

### Table 2 Frequency distribution of the five types of representations for the operating and control

"... In PAGE 18: ... [IF] a heavy load is coming [THEN] lower the bridge and bolt it down, so the weight of the object won apos;t counteract with the weight on the bottom of the bridge quot; ). Table2 shows the distributions of representations for the operating and control units. The distribution at the preassessment and analysis stages for both aspects was identical.... In PAGE 19: ... Most representations of the control features at this stage were of the undefined and collection categories. Insert Table2 about here Finally, we looked for significant differences among the representations at the different stages for the operating and control units. The means appear in Table 3 .... ..."

### Table A.12: Classification accuracy and coverage on the Education2 dataset with the probability distribution representation and a local meta-classifier.

2005

Cited by 2