### Table 2: Evaluation of Ranking Competence in Function-Based Recognition

1994

"... In PAGE 36: ... This is called the ranking competence of the system, and demonstrates howwell the system makes appropriate distinctions between categories. The results of this comparison are summarized in Table2 . The rows represent the system interpretation that resulted in the highest association measure.... In PAGE 36: ... Figures 25 and 26 show a representative set of those shapes on which agreement occurred over the rst ranked category. Some of the disagreements shown in Table2 are primarily due to a person apos;s di culty in con- sidering a shape purely on function-based grounds. Representative examples of these types of discrepancies are displayed in Figure 28.... ..."

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### Table 1: Quality of meshes coarsened using a function based approach. The rst row describes the original mesh.

"... In PAGE 9: ... The physical problem modeled by the mesh is a plate with a hori- zontal crack running from the middle of the left edge to the center of the plate [8]. The following Table1 lists the coarsening hierarchy statistics of our method. See Figure 5 for these meshes.... ..."

### Table 2. Information processing functions (based on Parasuraman, Sheridan, amp; Wickens, 2000)

"... In PAGE 11: ... This expanded model allows for various levels of automation within different functions. The four functions they describe are system analogs of different stages of human information processing: information acquisition, information analysis, decision selection, and action implementation (see Table2 ). Table 2.... In PAGE 53: ... Hadley, Mikulka, Freeman, Scerbo, and Prinzel (1997) examined this possibility by comparing window sizes of 40 and 4 seconds. These investigators, once again, observed an interaction between feedback condition and task mode similar to the one shown in Table2 ; however, the differences between task mode and feedback condition were more pronounced under the 4-sec window. In addition, not only did the smaller window generate more switches between task modes it also resulted in better tracking performance.... ..."

### Table 1. Comparison of the computing time in seconds among the four estimators of the mean function, based on data generated from the Poisson process or mixed Poisson process with sample size 100 or 200

2007

"... In PAGE 7: ... However, the mean squared errors of these estimators are elevated when the Poisson process model is wrongly assumed. The computing times for the four estimators are summarized in Table1 . The non- parametric maximum pseudolikelihood estimator appears to be the least computationally demanding estimator.... ..."

### TABLE I. VIRTUALITY AND VIRTUAL REALITY IN FAR EASTERN LANGUAGES

### Table 15: Mass functions based on relevance assessments

2002

"... In PAGE 23: ...We can derive values for each of the cells that display the term characteristic by simply averaging the characteristic value of the term in each document in the cell. In our example the average theme score for query term t4 is 207 in the relevant set displaying the characteristic and 25 in the non-relevant set displaying the characteristic so we assign a mass of 20 to the set {d2, d5} and 25 to the set {d3} shown in Table15 . The uncommitted belief is 205 (250-(25+20)).... In PAGE 24: ... The current query is composed of the terms t4, and t5. In Table15 we show the various sets that are assigned a mass value based on this document selection. Also we have filled in values for the context characteristic.... ..."

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### Table 10 Mean replacement inferiority ratio (standard deviation) for objective function-based approaches Approach Mean replacement

"... In PAGE 18: ...For the fourth and FFnal research question, Table10 shows mean replacement inferiority ratios for all of the objective function approaches. Recall that the mean replacement inferiority ratio is used so that comparisons and analyses can be made across all problem sets.... In PAGE 18: ... Recall that the mean replacement inferiority ratio is used so that comparisons and analyses can be made across all problem sets. From inspection of Table10 , it is immediately obvious that the objective function-based sequences obtained via complete enumeration provide desirable results for all three objective functions. The mean replacement inferiority ratio for these enumerated solutions is 0.... ..."

### Table 1: Evaluation of Is/Is Not Competence in Function-Based Recognition.

1994

"... In PAGE 33: ... Statistics were then gathered on how often the system and the person agreed that the functional requirements of a particular category were met. The results of this is / is not competence analysis are summarized in Table1 . The numbers in the Human Interpretation column show the number of objects the person thought could possibly/could not possibly function as the category associated to the row.... ..."

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