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Stand Number 1 Mean Number ha-1 741 49 12 37 0 42 3 7 5 0 0 0 0 5 0 160 Average Height (m) 2.95 0.05 2.25 0.12 2.81 0.06 1.76 0.08 4.76 0.07 2.60 0.13 2.64 0.07 1.55 0.09 1.39 0.02 1.47 0.03 2.10 0.02 1.41 0.04 1.24 0.04 1.18 0.06 1.02 0.07 1.97 0.07 3 64 5 3 158 0 3 0 0 7 0 0 0 0 243 7 17 126 20 15 37 5 7 0 5 0 0 10 27 276 7 17 54 0 12 0 32 27 0 0 0 0 0 3 152 141 99 5 0 25 0 0 7 3 0 5 0 302 72 659 32 15 0 0 20 0 3 42 0 0 10 12 25 111 270 657 613 781 494 497 2265 395 12 3 67 0 17 7 0 0 3 3 0 0 0 3 115 252 3 235 10 0 20 185 12 0 0 3 0 0 0 7 475 2 3 4 5 6 7 8 9

tough requirements. The simulation results in this section show, however, that 3GPP HSPA can still provide an attractive performance for VoIP.

We implemented the possibilistic analog of the naive Bayes classifier [Borgelt and Gebhardt 1999] together with a normal naive Bayes classifier [Borgelt 1999, Borgelt and Timm 2000] and tested both on four datasets from the UCI Machine Learning Repository [Asuncion and Newman 2007]. In both cases we used the greedy simplification (attribute selection) procedures described in the preceding section. The results are shown in Table 6.2, together

Memorial Service, University of Chicago Rockefeller Chapel, October 14, 2000.

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The technology development efforts of France, Germany, Sweden and Finland; Efforts of the French and German operators to plan a next generation system for a mass market; The very positive market take-up of cellular radio services in the Nordic countries; The effort that had to be made by the DTI to bridge between its European partners and its domestic competitive players Cellnet and Vodafone; A shrewd move by the Commission to table a directive on safeguarding the frequency bands for a Pan-European cellular radio system; The close working relationship that the GSM group achieved between key national of cials A slice of good luck and well judged timing.

{ SketchBerry theApp = new SketchBerry(); theApp.enterEventDispatcher(); } public SketchBerry() { _mainScreen = new myScreen(); _horzPosOld = 0; _vertPosOld = 0; _horzPosNew = 0; _vertPosNew = 0; _drawing = false; _mainScreen.addTrackwheelListener(this); pushScreen(_mainScreen); } public boolean trackwheelClick( int status, int time ) { _drawing = !_drawing; _mainScreen.invalidate(); return true; } public boolean trackwheelRoll(int amount, int status, int time) { if ((status & TrackwheelListener.STATUS_ALT) == 1) { _horzPosNew += amount; } else { _vertPosNew += amount; } _mainScreen.invalidate(); return false; } }

As shown earlier, the consumer decision to buy may be seen as a series of smaller decisions. It also can be shown as consumer progression through a number of discrete stages. Most models of consumer behaviour use the stages or near equivalents as shown in Figure 3.2. The various phases will be brie y outlined. First, problem recognition occurs when a consumer becomes aware that a need for clothing arises. This may be triggered by garments wearing out, comments from others about how unfashionable existing garments are, a change of social status prompting or facilitating purchase or a change in

By default, in a multifile search, the file name is displayed for each search result. Use the -h option to disable the display of file names. This example searches for the string sshd in the files secure, secure.1, secure.2, and so on:

Fashion brand retailers are increasingly looking towards an integrated approach to their marketing communications strategies which can give some synergy and also cost economies. If every aspect of the promotional mix is integrated then the effect is likely to be stronger and long lasting as the imagery and treatment, i.e. the handwriting, is consistent every time it is used be it in an advertisement, on the web, in a store, or on the letter head. It becomes distinctive and is:

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