### Table 7.4 summarizes the performance of the applications on this platform. The second column lists the sequential running time, devoid of any calls to the pthreads library. Columns 4 through 10 give the running times on 2 through 8 processors.

### Table 1: Profiles of visitors involved in the evaluation.

2000

Cited by 129

### Table 2.2: Productions for Multiplication by Iterative Addition.

1998

"... In PAGE 8: ...1 Difficulties 113 7.2 Contributions 114 TABLES 117 Table 1: Equations 117 Table2 : Symbols 118 Table 3: Parameters 120 APPENDIX 121 REFERENCES... In PAGE 128: ... Table2 : Symbols Ai activation of chunk i in Activation and Match Equation assoc weighting of prior strength in Posterior Strength Equation BI base-level activation of chunk i in Activation, Base-Level Learning and Optimized Learning Equation c scaling constant in Rehearsal Ratio and Retrieval Odds Equation C estimated cost of achieving the goal using the production in Expected Gain Equation d decay rate in Base-Level Learning and Optimized Learning Equation E expected gain of production in Expected Gain Equation Eji empirical ratio in Posterior Strength and Empirical Ratio Equation f latency exponent (usually at its default value of 1) in Retrieval Time Equation F total frequency of past opportunities (productions matched) in Empirical Ration Equation; Also latency scale factor in Retrieval Time Equation F(Cj) frequency of source j being in the context in Posterior Strength and Empirical Ratio Equation F(Ni) frequency of chunk i being needed (retrieved) in Empirical Ratio Equation F(Ni amp;Cj) frequency of chunk i being needed (retrieved) when source j is in the context in Empirical Ration Equation G value of the goal in Expected Gain Equation L life of chunk i , i.e.... ..."

Cited by 7

### Table 2.2: Productions for Multiplication by Iterative Addition.

1998

"... In PAGE 8: ...1 Difficulties 113 7.2 Contributions 114 TABLES 117 Table 1: Equations 117 Table2 : Symbols 118 Table 3: Parameters 120 APPENDIX 121 REFERENCES... In PAGE 128: ... Table2 : Symbols Ai activation of chunk i in Activation and Match Equation assoc weighting of prior strength in Posterior Strength Equation BI base-level activation of chunk i in Activation, Base-Level Learning and Optimized Learning Equation c scaling constant in Rehearsal Ratio and Retrieval Odds Equation C estimated cost of achieving the goal using the production in Expected Gain Equation d decay rate in Base-Level Learning and Optimized Learning Equation E expected gain of production in Expected Gain Equation Eji empirical ratio in Posterior Strength and Empirical Ratio Equation f latency exponent (usually at its default value of 1) in Retrieval Time Equation F total frequency of past opportunities (productions matched) in Empirical Ration Equation; Also latency scale factor in Retrieval Time Equation F(Cj) frequency of source j being in the context in Posterior Strength and Empirical Ratio Equation F(Ni) frequency of chunk i being needed (retrieved) in Empirical Ratio Equation F(Ni amp;Cj) frequency of chunk i being needed (retrieved) when source j is in the context in Empirical Ration Equation G value of the goal in Expected Gain Equation L life of chunk i , i.e.... ..."

Cited by 7

### Table 1: Query results for the three types of query formulation Query

"... In PAGE 8: ... Based on these three comparisons, we summarize the results for the three query types. Table1 summarizes the query results for the three types of query formulation based on colour weight 0.... ..."

### Table 1. Comparison of retrieval effectiveness Retrieval Effectiveness

"... In PAGE 2: ... For our performance analysis, we compare our scheme with the Li apos;s and Shan apos;s schemes in terms of retrieval effectiveness, that is, precision and recall measures [6]. Table1 shows the average precision and the average recall values of our scheme, Li apos;s scheme and Shan apos;s scheme for multiple moving objects apos; trajectories. Our scheme holds about 10% higher precision and about 5% higher recall than Li apos;s scheme.... ..."

### TABLE 5 Number retrieved in each class % of retrieved

2000

### Table 1 Keyword combinations used to retrieve papers for the three knowledge domains

"... In PAGE 4: ... The concepts of resilience, vulnerability and adaptation have developed over time, and have been used in various ways, often unrelated to the study on HDGEC. Relevant papers that did not use the keywords given in Table1 or did not cite the seeds listed in Table 2 were not retrieved. In sum, while we aimed for the best and most complete set of relevant publications, we might have missed important contributions.... ..."

### Table 1 Retrieval characterization

2003

"... In PAGE 22: ... (24), is a description of the number of independent pieces of information that can be inferred from a retrieval. Table1 lists DOFS for the 1D and 2D retrieval. For the 2D retrieval, the DOFS is 7.... In PAGE 22: ... (32), describes the relative change in volume between the retrieval error covariance and the a priori covariance matrix. Table1 lists the information content of the 1D and 2D retrievals. As discussed in Section 4, this form of the information content Table 1 Retrieval characterization... ..."

### Table 4: Retrieval results.

2000

"... In PAGE 13: ... We assume that a video location depicting the search text is retrieved correctly if at least one frame of the frame range has been retrieved in which the query text appears. Table4 depicts the measured average values for recall and precision. They are calculated from the measured recall and precision values, using each word that occurs in the video samples as a search string.... ..."

Cited by 25