### Table 2: Effect of spatio-temporal correlations on switching activity estimation for pseudo-random inputs

1994

"... In PAGE 16: ...io-temporal correlations (i.e., spatial correlations between temporally-dependent events). Table2 : and Table 3: give various error measures (com- pared to exact values obtained from exhaustive binary simulation) for pseudo-random input sequences versus biased input sequences for the f51m benchmark circuit. It can be seen that (1) the error is higher under the biased input sequences; (2) for pseudo-random inputs, the only way to improve the accuracy is by accounting for both spatial and temporal correlations; (3) for biased inputs, accounting for either spatial or temporal correlations improves the accuracy while the most accurate results are still obtained by considering both spatial and temporal correlations.... ..."

### Table 1: High-level Summary of the Cascade-Correlation Algorithm.

1991

"... In PAGE 2: ...rganized into distinct layers, but rather are cascaded; i.e., they are arranged in a sequence wherein each hidden unit receives activation from all input units and all hidden units earlier in the sequence. The cascade-correlation architecture supports a variety of learning algorithms, but the algorithm specifically described by Fahlman and Lebiere [4], outlined in Table1 , works as follows. An initial, minimal network under the cascade-correlation architecture (a network that has only the input and output units required by the task at hand) is trained completely using the quickprop algorithm [3].... ..."

Cited by 9

### Table 1: Average Switching Activity

2003

"... In PAGE 5: ... Experimental Results The cycle-based encoding algorithm was implemented in C and run on an IBM IntelliStation with a 730 MHz Pentium III processor and 256 MB memory to generate the experimental results. The total weighted Hamming distance (WHD) for a number of FSM benchmark circuits and for different encoding techniques are reported in Table1 . For these results, we assumed uniform external input distribution and used equation (1) to calculate the WHD value for each state machine.... ..."

Cited by 2

### Table 7: Bayesian simulated input price elasticity

"... In PAGE 18: ...035 0.0036 * significant at 5% level Table7 presents the mean elasticity estimates based on Bayesian simulations. Own price elasticities pesticide, feed, energy and labor were elastic, for the other inputs it was inelastic.... ..."

### Table 6: Parameter Estimates with Bayesian Statistics

"... In PAGE 16: ....2883 0.2053 0.1791 --- In this section, we present the results from Bayesian MCMC estimates. Table6 reports the parameter estimates based on imposing curvature on input prices, output quantities and ... ..."

### Table 1 Switching activities for multipliers used in the examples

"... In PAGE 3: ... We used 200 real speech data samples as the test input to all the examples except DiffEq which has its own test input. Total switching activity for an array multiplier and a Booth multiplier is shown in Table1 . Switching activity of the additional hardware is negligible compared with that of multipliers(about 0.... In PAGE 6: ... 2 Switching activity vs. sign change for a 16-bit array multiplier Table1... ..."

### Table 3 Correlation Matrix of E (b ) Classical estimates in upper triangle. Bayesian estimates in lower triangle

"... In PAGE 9: ... These standard deviations are similar, and when the scale difference is accounted for, the two sets of standard deviations are very close. Table3 arrays the correlation matrix for the vector of expected partworths under both approaches. The upper-triangular portion of the matrix gives the correlations for the classical estimates, and the lower-triangular portion gives the correlations for the Bayesian estimates.... ..."

Cited by 1

### Table 2 Religion in adolescent and young adult twins, prevalence, % concordant and tetrachoric correlation Yes % Concord. Correlation

"... In PAGE 5: ... This high stability suggests a sufficient reliability for the religious affiliation item. In Table2 the data from MZ and DZ twins are presented for the questions about religious upbring- ing, on whether or not they are currently religious (the religious affiliation item was dichotomised into no/yes for these analyses) and on their participation in religious activities (three response categories). Table 2 first gives the percentage of yes answers and next the percentage of twin pairs who gave the same answer (concordant pairs) to these questions.... In PAGE 5: ... In Table 2 the data from MZ and DZ twins are presented for the questions about religious upbring- ing, on whether or not they are currently religious (the religious affiliation item was dichotomised into no/yes for these analyses) and on their participation in religious activities (three response categories). Table2 first gives the percentage of yes answers and next the percentage of twin pairs who gave the same answer (concordant pairs) to these questions. The Table 1 Religion of twins and their parents None R.... In PAGE 6: ...Table2 gives the tetrachoric (or polychoric) correlation between members of a twin pair as estimated from the 2 3 2 (or 3 3 3) con- tigency tables. As can probably be expected, there is a high agreement between members of twin pairs on whether or not they had a religious upbringing.... ..."

### Table 3 The proportion of estimated OFV points to the real OFV points after correlation based selection and Bayesian iteration.

"... In PAGE 4: ... In correlation based method OFV N feature points were selected with maximal correlation. Table3 shows the change of this ratio after correlation based selection and Bayesian iteration. Table 2 and 3 clearly shows that after the iterations we can take a useful estimation about the OFV, while other initial statistical values do not concentrate in the OFV.... ..."

### Table 7: Word error rates (%) for prediction and smoothing of cascade biases by explicit correlation model.

"... In PAGE 21: ... The maximum likelihood weights give the best results (see Table 6), especially if the predictor is not smoothed with the backo bias (W = 1:0). As shown in Table7 , smoothing the estimated (seen) biases with the prediction model (14)... In PAGE 22: ... gives further improvements. We assess the overall improvements of the correlation model of the cascade MLLR biases, by comparing Table7 with the baseline system (4 block diagonal transforms) in Table 2. On the di erent adaptation tasks, word error rate improvements range from 0.... ..."