### Table 10: Certain distinguished sets of `-actions, 2 ` 16.

1999

"... In PAGE 13: ...ction (resp., (` ? 1)-action). For the sake of convenience, Table 9 lists the `-outgoing and `-incoming `-actions, 1 ` lt; 16. For 2 ` 16, Table10 defines the set of increment (resp., decrement, emptying, reset, aging, steal) `-actions.... In PAGE 19: ... Finally, the predicate aging( ) holds if and only if is an aging `-action. See Table10 for a list of aging `-actions.... ..."

Cited by 6

### Table 10: Certain distinguished sets of `-actions, 2 ` 16.

1999

"... In PAGE 13: ...ction (resp., (` ? 1)-action). For the sake of convenience, Table 9 lists the `-outgoing and `-incoming `-actions, 1 ` lt; 16. For 2 ` 16, Table10 defines the set of increment (resp., decrement, emptying, reset, aging, steal) `-actions.... In PAGE 19: ... Finally, the predicate aging( ) holds if and only if is an aging `-action. See Table10 for a list of aging `-actions.... ..."

Cited by 6

### Table 10: Certain distinguished sets of `-actions, 2 ` 16.

1999

"... In PAGE 13: ...ction (resp., (` ? 1)-action). For the sake of convenience, Table 9 lists the `-outgoing and `-incoming `-actions, 1 ` lt; 16. For 2 ` 16, Table10 defines the set of increment (resp., decrement, emptying, reset, aging, steal) `-actions.... In PAGE 19: ... Finally, the predicate aging( ) holds if and only if is an aging `-action. See Table10 for a list of aging `-actions.... ..."

Cited by 6

### Table 10: Certain distinguished sets of `-actions, 2 ` 16.

1999

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### Table 7.1: Summary of results for the uncertain validation set and the certain validation set, for both methods of presenting the error measure.

### Table 1: Classification accuracy of student certainness given different feature sets

in Using system and user performance features to improve emotion detection in spoken tutoring dialogs

2006

"... In PAGE 3: ... 5. Results Table1 summarizes our results using different combinations of features described in section 4 to automatically classify student certainty. The first column shows the features that are added in each run of our experiments.... ..."

Cited by 2

### Table 3: The probability that a certain working set tran- sition will occur on level i.

2000

"... In PAGE 4: ... On the other hand, if Hi is high, as when index scan is used, the relative frequency of WST2 will be high. In Table3 the equations for the relative frequencies are tabulated. For example, the probability that a WST1 occurs at level 1 for a sequential scan is the probability that a match does not occur and there is another tuple to scan.... ..."

Cited by 9

### Table 3.10 also suggests that the difference in error between conditions at certain trial sets

1996

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### Table 3: The probability that a certain working set tran- sition will occur on level i.

"... In PAGE 4: ... On the other hand, if Hi is high, as when index scan is used, the relative frequency of WST2 will be high. In Table3 the equations for the relative frequencies are tabulated. For example, the probability that a WST1 occurs at level 1 for a sequential scan is the probability that a match does not occur and there is another tuple to scan.... ..."

### Table 4 Pixels involved in the calculation of the fuzzy derivatives: each directions D H20849column 1H20850 corresponds to a certain set of pixel positions H20849middle sectionH20850 and last column specifies in which direc- tions derivative pairs are found.

"... In PAGE 8: ... In such a manner, by taking into ac- count those three derivative values for each direction H20849and combining them in a fuzzy logic mannerH20850, we distinguish between local variations due to noise and due to the edge- like image structures. In Table4 we give an overview of the pixels that are involved in the calculation of the derivatives. We use the following logic to determine the fuzzy de- rivative value for a certain direction D and H20849x,y,tH20850 coordi- nate position.... ..."