### Table 1. Efficiency of the proposed implementations

### Table 1. The state space variables.

in An architecture for natural language dialog applications in data exploration and presentation domain

"... In PAGE 8: ... For example, most database retrieval tasks can be modelled efficiently by using forms, while more open-ended dialogues, such as enti- ties identification in corporate databases may be implemented more efficiently using state-machines. Below in the Table1 we describe state variables and variables values in our dialog management system for data retrieval, analysis and presentations tasks. Because the system is user centric orientated the values of some state space variables are nor fixed as in [21] but has some range of flexibility.... ..."

Cited by 2

### Table 2. (Note that the sequence-pair based algorithm was implemented on a Pentium-II 350 processor with 128MB RAM.) As shown in Table 2, our algorithm results in the average dead space of 15.37%, compared to 18.24% reported by the sequence-pair based algorithm. Also, our algorithm is quite efficient. Figure 11 and Figure 12 show the resulting placements for xerox and ami33 with the boundary-constrained modules shaded.

2001

"... In PAGE 11: ... Table2 : Area and runtime comparisons between the sequence-pair based algorithm (on a Pentium-II 350 PC with 128MB RAM) and our algorithm (on a 200 MHz SUN Ultra I workstation with 256 MB).... ..."

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### Table 1. HRI implementation

"... In PAGE 5: ...original E-Spec algorithm on i860 processors. Table1 lists the initial architecture sizing implications. The estimate indicated that unrealistic programming efficiencies would be needed to reach the budgeted goal.... ..."

### Table 1: Complexity and Space Efficiency of Formalisms

1996

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### TABLE I OPTIMIZATIONPRINCIPLEPATTERNS FOR EFFICIENT PROTOCOL IMPLEMENTATIONS

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### Table 3: Efficient solutions (in objective space) for the BOUFLP

"... In PAGE 20: ... As reference, the current configuration is represented by a square in the frontier. Table3 shows the efficient solutions in the objective space (i.e.... In PAGE 22: ...1%. Note that in Table3 at least 17 configurations in the approximate Pareto frontier offer a better coverage than the current configuration (i.... In PAGE 23: ...rontier. Table 4 shows the efficient solutions in the objective space (i.e., cost and coverage) following the same convention used in Table3 . Due to the fact that capacity constraints on the depots are enforced in the BOCFLP, there is no column showing exceeded capacity.... ..."

### Table 4: Efficient solutions (in objective space) for the BOCFLP

"... In PAGE 23: ... Again, as reference, the current configuration is represented by a square in the frontier. Table4 shows the efficient solutions in the objective space (i.e.... In PAGE 23: ... From Figure 8, it is clear that the left side of the frontier is quite flat (up to solution 8), meaning that coverage can be improved significantly with just a little of investment above the minimal cost configuration. Table4 shows that by investing only 1.26% above the minimum cost configuration, it is possible to increase coverage by 16.... ..."

### Table 1: Complexity of model checking and Space Efficiency of Model Representations

1996

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