Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
27,234
Table 4. Situations with similar context for experiment
in S.B.: A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory
2006
"... In PAGE 8: ... It prevents subjects from evaluating the object too subjectively by requesting them to compare the object relatively. First, four situations are provided to subjects as shown in Table4 . We have ... ..."
Cited by 2
Table 17: Propensity score estimates of the effect of being black on stop duration compared with similarly situated white drivers. The 95% CI columns show the 95% confidence intervals for the estimates.
2004
"... In PAGE 58: ...2%, 5.6%) 3% Table17 compares the stop times of black drivers and similarly situated white drivers. Black drivers were detained for longer periods of time than white drivers (p-value=0.... ..."
Table 3: A similar table showing a situation where tests have taken a di erent combination of branches.
2001
"... In PAGE 11: ... Since the false branch of that condition was exercised, the condition on line 3 has been reached as well, and one of the two branches of that decision has necessarily been exercised. Table3 shows a situation where the condition on line 3 was also false, meaning that the condition on line 5 was reached and one of the branches of that condition has been exercised. A Decision true false 1 X X 3 - X 5 - X Table 2: A sample coverage table after Chang.... In PAGE 11: ... Both conditions are reached and so both are candidates for function minimization. Table3 shows a di erent situation where line 5 was not reached because only the true branch was taken on line 3. In that case, we cannot apply function minimization on line 5 because no test cases reach there.... In PAGE 11: ... We use the GA to perform a new function minimization for each condition we reach. For example, in the case illustrated by Table3 we would use the GA to cover the false branch on line 3. With luck, we may nd several tests to cover this branch, and it may even be that these tests cover both branches of the condition on line 5.... ..."
Cited by 58
Table 2: A similar table showing a situation where tests have taken a di erent combination of branches.
1997
"... In PAGE 5: ... Since the false branch of that condition was exercised, the condition on line 3 has been reached as well, and one of the two branches of that decision has necessarily been exercised. Table2 shows a situation where the condition on line 3 was also false, meaning that the condition on line 5 was reached and one of the branches of that condition has been exercised. A Decision true false 1 X X 3 - X 5 - X Table 1: A sample coverage table after Chang.... In PAGE 5: ... Both conditions are reached and so both are candidates for function minimization. Table2 shows a di erent situation where line 5 was not reached because only the true branch was taken on line 3. In that case, we cannot apply function minimization on line 5 because no test cases reach there.... ..."
Cited by 5
Table 7 shows results for situations similar to Table 4 but with errors from t-transformed exponential variogram models. That is, we transformed the exponential errors used in Table 4
2001
"... In PAGE 19: ...Table7 . Average of Standard Deviation Estimates (divided by true standard deviation) for Regression from 10 10 Spatial Data of Size 100 with t-transformed Exponential Variogram Errors.... In PAGE 20: ... Thus the marginal distribution of Yi is a t distribution with 5 degrees of freedom. The entries in rows 1 and 2 and 5 and 6 of Table7 are Monte Carlo estimates of the variance of b based on 10,000 replications. These show that the robust regression estimates have less variability than the least squares estimates as expected.... ..."
Cited by 1
Table 2. Di erent models for the mouse A-crystallin gene. Note that the MTD 2 and MTD 3 models are identical, since apos;3 = 0 at the optimum of the MTD 3 model. A similar situation occurs between the SMTD 1 and SMTD 2 models. model number of log-likelihood BIC parameters
1999
"... In PAGE 20: ... (1975), we do not take into account the number of parameters equal to zero for the computation of BIC. Table2 summarizes the main results. MC denotes a Markov chain.... In PAGE 20: ... MTD and MTDg are the Mixture Transition Distribution models with respectively 1 and several transition matrices. The other models appearing in Table2 are described below. Table 2.... In PAGE 21: ... To test this hypothesis, we computed rst Markov chains of order 1 to 3, from the right to the left of the gene. These chains are noted MC 1r to MC 3r in Table2 . These reverse chains obtain similar results as the Markov chains calculated from the left to the right, con rming our assumption.... In PAGE 21: ... Finally, we computed the Potts model with the same neighborhoods. Table2 shows that the best model is the SMTDg 1 model whose parameters are given below. We note L the base on the left and R the base on the right.... ..."
Cited by 3
Table. 1. Examples of objects that play similar roles and/or correspond to each other although they are situated in different worlds [2]
Table 5.2: Improvement in 30-minute loss rates with and without RON, out of 13,650 samples. The numbers for the second dataset are similar, though with more situations where RON could not help, and are shown later in Table 5.4.
2001
Cited by 680
Table 5.2: Improvement in 30-minute loss rates with and without RON, out of 13,650 samples. The numbers for the second dataset are similar, though with more situations where RON could not help, and are shown later in Table 5.4.
2001
Cited by 680
Table 2.5 From this singular occurrence we proceed to collect other examples of similar type, trying to abstract their common linguistic and situational features. We may end with the following rather general pattern:
Results 1 - 10
of
27,234
