### Table 21.3.1 summarizes the bounds on the maximum combinatorial complexity of the vertical decomposition for several types of arrangements and substructures. Certain assumptions that curves and surfaces are \well-behaved quot; are not detailed.

in Arrangements

### Table 5: Feature Selection Methods and their Capabilities. + It can handle only boolean features. ++ If certain assumptions are valid. User is required to provide the noise level. Provided there are enough resources.

"... In PAGE 23: ...where C, D, and N denote continuous, discrete, and nominal; ability to handle multiple (more than two) classes (Y/N); ability to handle large dataset (Y/N); ability to handle noise (Y/N); and ability to produce optimal subset if data is not noisy (Y/N). Table5 lists the capabilities regarding these ve characteristics of sixteen feature selection methods that appear in the framework in Section 2. The methods having \classi er error rate quot; as an evaluation function are not considered because their capabilities depend on the particular classi er used.... ..."

### Table 3. Assumptions for software reliability models Model name

2001

"... In PAGE 4: ...able 2. Software Reliability NHPP Models..............................................................................................................6 Table3 .... In PAGE 11: ... 2.3 Requirements for using the models Certain assumptions should be true for the models to produce valid results; these are provided for several models in Table3 [Lyu]. Musa and several other models share the following group of assumptions, referred to as basic assumptions in Table 3: 1.... In PAGE 16: ... These include features such as test inputs randomly encountering faults, effects of all failures being independent, test space covering the use space, all failures observed when they occur, or faults removed on discovery are not counted again. For example, assumptions of the Schneidewind and Musa models shown in Table3 are extensive and differ. The development and test staffs need to interact with the analyst to determine which assumptions hold for a specific project.... ..."

### Table 2: Analytical concepts and assumptions of exchange theories

in Edinburgh

"... In PAGE 3: ... Table2 are valid in social life where people (actors) can only obtain what they need and value (resources) through dependent relationships with others (structures). It is explained that the philosophical roots of social exchange begin with the assumptions of utilitarian economics, broaden to include the cultural and structural forces emphasized by classical anthropologists, and enter sociology after further input and modification from behavioral psychology (Molm, 2001, p.... In PAGE 5: ... The discuss the certain conditions need to be satisfied for exchange and combination to take place, namely that: (1) the opportunity exists to make the combination or exchange (Nahapiet amp; Ghoshal, 1998, paragraph 37) , (2) those parties must expect such deployment to create value (Nahapiet amp; Ghoshal, 1998, paragraph 38) ; (3) those involved must feel that their engagement in the knowledge exchange and combination will be worth their while (Nahapiet amp; Ghoshal, 1998, paragraph 39) . This matches the analytical concepts and assumptions described in Table2 where (1) above relates to exchange processes and (2) and (3) relate to exchange resources . Nahapiet amp; Ghoshal (1998) also discuss the concept of the knowledge market.... ..."

### Table 6. Estimates of Take-Up and Crowd-Out Associated with SCHIP Expansions Under Different Assumptions

2002

"... In PAGE 20: ... Nonetheless, under certain assumptions we can construct several measures of take-up and crowd-out associated with the SCHIP expansions and the associated changes in the number of children with particular coverage types. Table6 displays these estimates. The ... In PAGE 22: ... The largest of these estimates corresponds to a total of 76,000 children. In the second panel of Table6 we adjust the take-up and crowd-out estimates for the possibility that the increase in non-group private insurance associated with the SCHIP eligibility expansions actually represents an increase in public coverage. To calculate an adjusted take-up rate among the income eligible we sum the effect of public eligibility on public coverage with the estimated effect on non-group.... ..."

### Table 1 summarizes the multi-robot Markov localization algorithm. The time index a29 and the state

"... In PAGE 7: ... Table1 : Multi-robot Markov localization algorithm for robot number a1 . it makes certain independence assumptions (e.... ..."

### Table 1 summarizes the multi-robot Markov localization algorithm. The time index D8 and the state variable C4 is omitted whenever possible. Of course, this algorithm is only an approximation, since

"... In PAGE 7: ... Table1 : Multi-robot Markov localization algorithm for robot number D2. it makes certain independence assumptions (e.... ..."

### Table 1 summarizes the multi-robot Markov localization algorithm. The time index a29 and the state variable a43

"... In PAGE 7: ... Table1 : Multi-robot Markov localization algorithm for robot number a1 . it makes certain independence assumptions (e.... ..."

### Table 1 summarizes the multi-robot Markov localization algorithm. The time index t and the state variable L is omitted whenever possible. Of course, this algorithm is only an approximation, since

"... In PAGE 7: ... Table1 : Multi-robot Markov localization algorithm for robot number n. it makes certain independence assumptions (e.... ..."

### Table 9: Resulting discriminant accuracy using MAV and di erent smoothing parameters . The mapping scheme for the ISOLET database is based on the assumption that all diphones consists of the same number of frames because of the missing phone labels. The used plane index for the optimal accuracy is given for each representation which translates to a certain time constraints .

1999

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