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Table IX. Correlations between test groups and the jury for organization C

in SOFTWARE---PRACTICE AND EXPERIENCE. VOL. 22(8). 603--636 (AUGUST 1992) A Group Process for Defining Local Software Quality: Field Applications and Validation Experiments
by Carmen Trammell And, Carmen J. Trammell, J. H. Poore

Table X. Correlations between test groups and the jury for organization D

in SOFTWARE---PRACTICE AND EXPERIENCE. VOL. 22(8). 603--636 (AUGUST 1992) A Group Process for Defining Local Software Quality: Field Applications and Validation Experiments
by Carmen Trammell And, Carmen J. Trammell, J. H. Poore

Table 7: Probability of real guilt for varying jury accuracies

in The "Jury Fallacy" and the use of Bayesian Networks to present Probabilistic Legal Arguments
by Norman Fenton, Martin Neil

Table 7: Probability of real guilt for varying jury accuracies

in and
by Norman Fenton, Martin Neil 2000

Table 1: DU states

in Identifying Repair Targets in Action Control Dialogue
by unknown authors

Table 1: Ensemble de donn ees pour les programmes du benchmark SPLASH 2 Les r esultats qui suivent sont issus de mesures sur les trois g en erations de microprocesseurs pr esent ees dans la partie pr ec edente. Les principales di erences entre les n uds Pentium Pro 200 et les n uds Pentium II 300 sont la fr equence du CPU, la taille des caches (L1:2*8kB vs 2*16kB, L2: 256kB vs 512kB), le rapport de fr equence entre le CPU et le cache de second niveau ainsi que la technologie et le mode de pipeline de la m emoire (EDO contre SDRAM). Entre les n uds PII 300 et PII 400, les di erences sont une fr equence plus elev ee du CPU et du bus m emoire (66 Mhz pour le PII 300 et 100 Mhz pour le PII 400).

in Evaluation des performances de Little TiPI: le reseau de PCs multiprocesseurs du LRI
by Franck Cappello, Olivier Richard, Emaih Fcilri. Fr

Table 1. R esultats de r ef erence. Dans la suite, les exp erimentation de l apos; evolution mim etique se feront dans le cadre ES (10+50), les bits a muter etant s electionn es par tournoi de taille 20, et le h eros (resp. le repoussoir) m emorisant le meilleur (resp. le pire) individu de la population. Les coe cients de relaxation du h eros et du repoussoir sont = 0 = :01. Les r esultats pr esent es sont les meilleurs r esultats obtenus en 200 000 evaluations, moyenn es sur 10 ex ecutions ind ependantes.

in Evolution Mimétique
by M. Peyral, A. Ducoulombier, C. Ravisé, M. Schoenauer, M. Sebag

Table 3: The upward closed denotational semantics DU. De nition 5.7 S; SFin : Agents ?! P(C) are the least and the greatest function which satis es the equations in Table 4, respectively. Proposition 5.8 For each agents A and for each C 2 PUC(C) we have

in Compositional Analysis for Concurrent Constraint Programming
by Moreno Falaschi, Maurizio Gabbrielli, Kim Marriott, Catuscia Palamidessi 1993
"... In PAGE 8: ... De nition 5.2 DU; DU Fin : Agents ! (PU(C) ! PU(C)) are the least and the greatest functions which satisfy the equations in Table3 . The order- ing is the standard one: D1 D2 i for each A 2 Agents, for each C 2 PU(C), D2[[A]]C D1[[A]]C holds.... ..."
Cited by 27

Table 1. Time to reconstruct different sur- faces.

in Ray Tracing Height Fields
by Huamin Qu , Feng Qiu, Nan Zhang, Arie Kaufman, Ming Wan 2003
"... In PAGE 4: ... Table1 compares the time to render four different ter- rain surfaces (height planes, linear approximation planes, triangle meshes, bilinear surfaces) on two hardware con- figurations: SGI Power Challenge (R10K processor, 194 MHZ, 4GB RAM) and Intel Pentium III (933 MHz, 384MB RAM). Only one processor is used on the SGI workstation.... ..."
Cited by 2

Table 2 Extractmn rates of computer business sur-

in unknown title
by unknown authors 1997
Cited by 1
Results 11 - 20 of 2,208