"... In PAGE 4: ... In early stages the models are low fidelity and geared towards decision making; eventually models become sufficiently faithful for compliance assessment. CONTRASTING MDSD WITH DOCUMENT CENTERED SYSTEM DESIGN Table1 compares the anticipated benefits and challenges of MDSD to those of a document-centered approach. We base our assessments of the model driven approach on extrapolations from current experience with analytic modeling and information modeling in less integrated and extensive applications areas.... ..."

"... In PAGE 4: ... The following example demon- strates how these ideas help pret manage its sensors and actuators. Table1 displays the ODEs that describe the behav- ior of the driven pendulum in each of the five qualita- tive state/parameter-space regions shown in Fig. 3.... ..."

"... In PAGE 6: ... The strategy is to pick channels of broad interest and low standard- model rate, make a priori predictions of the Standard Model rates and distributions, both from physics processes and detector e ects, and then make the measurement. The advantages and disadvantages, for there are both, are listed in Table1 . Both methods are useful, and the advent of Run II means that we need to prepare the signature-driven analyses now.... In PAGE 36: ...062 0.039 Table1 0: The number of events with N or more jets. The 95% con dence level limits on BR A in pb for events with N or more jets.... In PAGE 36: ... After searching the parameter space for regions where the search would be sensitive (large branching ratios, cross sections, and acceptance), parameters were selected as enumerated in Table 11. M1 = M2 N2 = ~ , N2 ! N1 dominates tan = 1:2 N1 = ~ hb, N2 ! N1 dominates M2 = 0:89 j j + 39 GeV N2 ! N1 dominates good acceptance for the ~ t = N1 + 5 GeV good acceptance for the b M ~ Q = 200 GeV large cross section M~ g = 210 GeV ~ g ! q ~ Q competes with ~ g ! t~ t M~ ` =500 GeV prevent C ! `~ ` MA =500 GeV H0; H ; A heavy Table1 1: The underlying assumptions and the reasons for them in the baseline model for ~ 0 2 ! ~ 0 1. The rst limit on this model considers only ~ 2 ~ 0 2 production, where the branching ratios are 100% and kinematics of the events are relatively simple.... ..."

"... In PAGE 7: ... 5.2 Significance Tests In Table2 we show the values for significance tests be- tween the scores of the different retrieval models, once again at a window size of 20 shots. Significance testing was done using the Wilcoxon matched-pairs signed-ranks test, at the 0.... In PAGE 7: ... Firstly, we find that our retrieval framework produces consistently higher MAP scores for topics than it does for concepts. As shown in Table2 , at window size 20 the highest score for topics is almost 6 times larger than for concepts, with MAP scores of 0.0790 and 0.... In PAGE 8: ... For the concepts a mixed message emerges: the empirical model has a slight edge over the power law model in one case (model 2 vs model 4) and vice versa in the other case (model 3 vs model 5). In sum, the significance tests in Table2 show that the retrieval models based on power law approximations do not produce significantly lower MAP scores than those based on empirical data.4 Hence, it seems safe to recommend the use of power law based models for incorporating redundancy within retrieval models.... ..."

"... In PAGE 7: ... 5.2 Significance Tests In Table2 we show the values for significance test between the scores of the different retrieval models, once again at a window size of 20 shots. Significance testing was done using the Wilcoxon matched-pairs signed-ranks test, at the 0.... In PAGE 7: ... Firstly, we find that our retrieval framework produces consistently higher MAP scores for topics than it does for concepts. As shown in Table2 , at window size 20 the highest score for topics is almost 6 times larger than for concepts, with MAP scores of 0.0790 and 0.... In PAGE 8: ... For the concepts a mixed message emerges: the empirical model has a slight edge over the power law model in one case (model 2 vs model 4) and vice versa in the other case (model 3 vs model 5). In sum, the significance tests in Table2 show that the retrieval models based on power law approximations do not produce significantly lower MAP scores than those based on empirical data.4 Hence, it seems safe to recommend the use of power law based models for incorporating redundancy within retrieval models.... ..."

"... In PAGE 2: ... Optimized A continuous feedback contributes to improve the software production and the ROI (return on investment) of the software development. Table1 . A three-level maturity model with a model-driven software factory approach Software production improvement requires strategic decisions consistent with a software factory approach.... ..."

"... In PAGE 5: ... Organization Processes that establish the business goals of the organization and develop process, product, and resource assets which, when used by the projects in the organization, will help the organization achieve its business goals. The processes in Figure 1 are enumerated for illustrative purposes, but they are not the same across all the process categories see Table2... ..."

"... In PAGE 7: ... Next to the occurence of such discrepancies, which can only be identified by having sufficient knowledge about the domain, the construction of an accurate classifier based on a small database is impaired in principle. The conjecture that suboptimal dependencies were added is supported by the increasing relative entropy between the declarative model and data-driven classifiers with increasing structural complexity ( Table1 ). It is unlikely that the naive classifier is simply the best representation of the dependencies within the model since relative entropy was shown to decrease for model-driven classifiers of increasing structural complexity.... ..."