### Table 1. Frequencies of distinct words truncated at different levels and their Zipf constants for both whole corpus and interval between 0.1% and10% of ranks. Note that words are partially sorted with respect to their frequencies in descending order and then, rank number is assigned in ascending order for each row starting from top. Finally Zipf constant is computed by averaging A(r)=p(r)*r values of each row, where r and p(r) indicate rank and probability of that rank, respectively.

"... In PAGE 3: ... 4. Discussion In Table1 , frequencies of truncated terms and their Zipf constants are given. We see that in regard to Zipf constant value the truncated terms around average word length can be treated equally because maximum change factor of Zipf constant in that group is about 18%, i.... ..."

### Table 1: The mean and (maximal) prediction errors for different predictors on the frequency evolution of partials of Saxophone Vibrato. Prediction errors are computed for several simple predictors (left part) and the LP predictor (right part) for different values of k (the distance in frame indices between the last observation and the predicted value). Concerning the part dedicated to the LP predictor, the model order grows from left to right, and for each values of k the number of samples considered is in [4;8;16;32]. The prediction errors of the LP predictor are lower than those of the best simple predictor. The improvement is getting more and more significant when k is increasing.

### Table 2: The mean and (maximal) prediction errors for different predictors on the frequency evolution of partials of Singing Voice. Prediction errors are computed for several simple predictors (left part) and the LP predictor (right part) for different values of k (the distance in frame indices between the last observation and the predicted value). Concerning the part dedicated to the LP predictor, the model order grows from left to right, and for each values of k the number of samples considered is in [4;8;16;32]. The mean prediction error of the LP predictor is lower than those of the best simple predictor, and the improvement is getting more and more significant when k is increasing. The maximum error remains comparable, mainly due to the unpredictability of a non-stationary transition (see Figure 4 at frame 85).

### Table 1: Statistics for Partial Order in Figure 2

1994

"... In PAGE 13: ...3 Comparing Partial Order Services Using arbitrary precision arithmetic routines, programs were developed to compute ei values for an arbitrary series-parallel partial order. Table1 indicates ei values for 0 i lt; N for the Anatomy and Physiology Instructor example in Figure 2. Additionally, the corresponding number of linear extensions for an ordered and unordered service are tabulated.... ..."

Cited by 39

### Table 7: Information Needs Frequencies for Re-engineering Tasks (Partial)

"... In PAGE 11: ... The last column is a cumulative im- portance score. It was developed as follows: the information needs table ( Table7 ) iden- ti es how often an information was needed (rightmost column) and to which competency areas the information belongs. We added in- formation frequencies for each of a compe- tency support area to compute a cumulative score.... ..."

### TABLE 4 Self-Assessed Limitationsa of Explanations for Both Problems, All Classes, from Year 2

2004

Cited by 6

### TABLE 3 Peer Critiquesa of Explanations for Both Problems, All Classes, in Year 2

2004

Cited by 6

### Table 1. Partial view of the consolidated trans- action frequencies during the measuring time window.

"... In PAGE 3: ... Therefore, a CICS monitor was used to measure the fre- quency of execution of the on-line transactions, as sug- gested by Guideline 1. Table1 shows a partial view of the measured transactions execution frequencies consolidated by their program names. The complete table of the mea- sured transactions has 2,982 entries.... In PAGE 3: ... Table 2 shows a partial view of the relevant transactions ordered by their frequen- cies in one of those regions. The PRNT transaction in Table1 corresponds to printing services, which is a batch job service in the target system. Most of the analysis required to generate the final workload does not apply to batch services.... ..."

### Table 1. Partial view of the consolidated trans- action frequencies during the measuring time window.

"... In PAGE 3: ... Therefore, a CICS monitor was used to measure the fre- quency of execution of the on-line transactions, as sug- gested by Guideline 1. Table1 shows a partial view of the measured transactions execution frequencies consolidated by their program names. The complete table of the mea- sured transactions has 2,982 entries.... In PAGE 3: ... Table 2 shows a partial view of the relevant transactions ordered by their frequen- cies in one of those regions. The PRNT transaction in Table1 corresponds to printing services, which is a batch job service in the target system. Most of the analysis required to generate the final workload does not apply to batch services.... ..."