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Table 1 Successive Revision in Bar Stories
"... In PAGE 7: ... Since the second cue is completely predictive, the model should fully activate the outcome that fits with that cue: lipstick for kissed, and cheek for slapped. Table1 first shows the ideal activations of lipstick and cheek given the above analysis. The nils in the table indicate conditions where one or the other of the cues is unknown.... In PAGE 7: ... The nils in the table indicate conditions where one or the other of the cues is unknown. The observed activations in Table1 are averages from three test cases per cell. As table 1 shows, before the first cue is presented, the predictions for the final proposition should be equal.... ..."
Table 4: Mathematical areas and industrial applications encountered during site visits. Mathematics is a key player in numerous success stories heard during site visits. Common themes are the technical advantages and cost savings that accrue from clever modeling, analysis,
"... In PAGE 10: ....2. Applications of mathematics The site visits, telephone surveys, and experiences of steering committee members in industry build a picture in which mathematics participates in many ways in the overall enterprise of industrial and government organizations. Table4 indicates selected associations between areas of mathematics and applications encountered in the site visits.... ..."
Table 1. Results of the Evaluation on 66 News Stories.
2005
"... In PAGE 8: ... Table1 shows the results under two conditions. In the first condition, strict, annotation was only considered successful if the correct story was matched, but in the second, lenient, it was considered correct if a closely related story was matched.... ..."
Cited by 6
Table 1. Results of the Evaluation on 66 News Stories.
2005
"... In PAGE 8: ... Table1 shows the results under two conditions. In the first condition, strict, annotation was only considered successful if the correct story was matched, but in the second, lenient, it was considered correct if a closely related story was matched.... ..."
Cited by 6
Table 1: Results of the Evaluation on 66 News Stories.
"... In PAGE 7: ...Table 1: Results of the Evaluation on 66 News Stories. Table1 shows the results under two conditions. In the first condition, strict, annotation was only considered successful if the correct story was matched, but in the second, lenient, it was considered correct if a closely related story was matched.... ..."
Table 12 Story-mapping model parameters and estimated values Parameter Value Probability of skipping memorization (two-story) .80 Probability of continuing memorization after successful recall .76 Probability of reading the target story .80 Probability of giving up search (one-story) .02 Time for introduction encoding 3 sec
"... In PAGE 36: ... (3)]. Table12 summarizes the task-specific parameters and values. 5.... ..."
Table 4: Material and procedure, exemplified by the six successing presentations of the components of a story. The texts presented by the first, second, and fourth screen had only to be read. The recognition items presented by the third and fifth screen had to be judged, if they had been mentioned in the foregoing description (target) or not (distractor) by pressing a key. The control question presented by the sixth screen had to be answered by apos;yes apos; or apos;no apos;, again by pressing a key.
Table 20: Success Criteria for Data Center Relocation Brown, Clancy, Scholer (2003)
2004
"... In PAGE 3: ...able 19: Lessons Learned from a Post-Merger IT Integration Success Story................................................82 Table20 : Success Criteria for Data Center Relocation.... In PAGE 81: ... From this case study, a number of lessons learned emerge (Table 19). Also from this case study, additional success criteria, which can be used to measure the level of success during a data center relocation surface ( Table20 ) (Brown, Clancy, Scholer, 2003). ... ..."
Table 2: The CPU time in seconds required for the solution.
"... In PAGE 7: ...7 problem) it was even better. According to Table2 , the CPU times needed for the solution proved to be a success story for the new method (denoted by 4 digit approx.): it could... ..."
Table 4: Initial Demand Conditions for Successful Cases Compared with Selected African Countries
"... In PAGE 12: ...able 3: Poultry Stocks, Production, and Imports for Selected African Countries ..........34 Table4 : Initial Demand Conditions for Successful Cases Compared with Selected African ... In PAGE 48: ... The evidence as to how much incomes must rise and what percentage of the population must live in urban areas in order to support the initial investment in commercial systems is inconclusive. Table4 shows the real per capita incomes, percent of urban population, and poultry meat consumption statistics for the success story countries described in Section 4 at the onset of their poultry sector transformation initiatives as compared with selected African countries in 1993 (the most recent data available). The table reveals that the initial conditions in terms of per capita real income and percent of urban population in the successful case studies vary greatly.... ..."
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