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There are many new terms used in this platform that we have not discussed elsewhere in the book. However, we will focus on only a small subset of these terms, which are relevant to our other discussions in s 15 19. In particular, before we can discuss the architecture in Section 18.1.2, we need to understand some of the terms that describe the fundamental subplatforms, subsystems, and components within the architecture. Note that we will ignore the distinctions between these three different architectural categorizations. Although there are many other terms we need to learn and understand when working in this platform on a day-to-day basis, we will restrict ourselves to nine fundamental vocabulary terms (with a few additional terms included as part of the discussion for each). We strongly recommend reading the online help for further clari cation of these terms and concepts. The nine fundamental terms we will consider are the following:

Another viewpoint of a drift, especially appearing in the case of regression modeling, is a shift in the trajectory as shown in Figure 56, where the original sinusoidal relationship on the right-hand side changes over time compare the dark line (samples after the shift) versus the light line (samples before the shift) When applying recursive (weighted) least squares, the regression line would end up somewhere in the middle between the two trajectories, achieving an unsatisfactory accuracy; hence, it is also necessary to forget the older tracking and to change to the new situation as shown in the right-hand image 5431 Gradual Forgetting In order to track drift occurrences, a mechanism is triggered that incorporates larger weights for the new data samples than for older ones in the incremental/evolving learning process This is done by a gradual forgetting of older data points over time.

(Macintosh) the frame where you want to place a keyframe, and choose Insert Keyframe from the context menu.

For the linear consequent parameters in all Takagi-Sugeno-Kangtype fuzzy models, this can be achieved by introducing a forgetting factor l and incorporating it into the recursive weighted least-squares formula (here for the ith rule of any model):.

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Note: If you provide a keyboard shortcut for an input text field or button, you must also use the ActionScript Key object to detect the key the user presses during movie playback. See Capturing keypresses on page 275.Keyboard shortcut functionality also depends on the screen reader software used.

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dry (May through June) season (Sofos et al. 1999b, c, d). Likewise, total bacteria on lamb carcasses were lower in the spring than in the winter (Duffy et al. 2001). Elder et al. (2000) and Arthur et al. (2004) in their survey in four and two meat processing plants, respectively, indicated that sanitary procedures and postevisceration antimicrobial interventions could reduce the prevalence of E. coli O157:H7 on carcasses from 20.1 43.4% preevisceration to 0 1.8% post-processing. Similarly, Barkocy-Gallagher et al. (2003) found that the percentage of positive E. coli O157:H7 and Salmonella carcass samples was reduced from 26.7% and 12.7% preevisceration to 1.2% and 0.1%, on dressed carcasses, respectively; that is after interventions with chemicals and chilling. Finally, a hot-water (80 C) decontamination system, consisting of a stainless steel spraying cabinet and a recirculation water system, was effective in reducing microbial contamination on carcasses and gained approval by FSIS for commercial use in beef slaughter (Sofos and Smith 1998). Of the aforementioned in-plant decontamination interventions, water/steam pasteurization and spraying with lactic acid are considerably more effective in reducing TCC and E. coli than water-washing (Gill and Landers 2003a). Furthermore, combination of lactic acid rinses of carcasses, primal cuts, and contact surfaces for carcass fabrication may reduce the numbers of total bacteria, coliforms, and E. coli on carcasses and the processing environment, thereby improving the sanitary conditions of the plant (Bacon et al. 2002a). The reduction of E. coli O157:H7 during the dressing process has been demonstrated in establishments using the best intervention strategies and processing techniques. Preharvest strategies that may reduce the prevalence in feces, as well as additional measures to prevent pre-evisceration contamination, would also markedly improve the microbial safety of the nal product (Elder et al. 2000). Arthur et al. (2004) observed high correlation

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