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Here is an example that can be very dif cult if done the wrong way. It illustrates the power of the techniques developed so far. Let X1 , X2 , . . . , Xn , . . . be a stationary Markov chain, and let Yi = (Xi ) be a process each term of which is a function of the corresponding state in the Markov chain. What is the entropy rate H (Y) Such functions of Markov chains occur often in practice. In many situations, one has only partial information about the state of the system. It would simplify matters greatly if Y1 , Y2 , . . . , Yn also formed a Markov chain, but in many cases, this is not true. Since the Markov chain is stationary, so is Y1 , Y2 , . . . , Yn , and the entropy rate is well de ned. However, if we wish to compute H (Y), we might compute H (Yn |Yn 1 , . . . , Y1 ) for each n and nd the limit. Since the convergence can be arbitrarily slow, we will never know how close we are to the limit. (We can t look at the change between the values at n and n + 1, since this difference may be small even when we 1 are far away from the limit consider, for example, n .)

12 Positive reputation binds you more closely to your stakeholders, be they customers, employees, or, most critically, recruits Joie Gregor is vice chairman of one of America s top executive recruiting rms, Heidrick & Struggles Gregor recruits executives, CEOs, COOs, and board members for major corporations, and many consider her an expert in building global leadership teams I worked closely with Joie on a recruiting assignment for LRN She knows, before she takes on clients, that their reputations precede them into the marketplace for talent The great candidates or top talent look at companies and ask, Are they a great company she says And it s almost never about just making the numbers It is about the culture.

Individually, 2 2 2 2 sdi and sdj are unbiased estimates of di and dj , respectively 2 Let us de ne the sample estimate of dij as (dij d) 2 / 2 2 2 (nm 1) Then we can substitute di , dj , and sdij in Equation 2565, and using their sample estimates,.

you turn on this nifty feature, folders display how many items they contain, images (such as JPEGs and GIFs) show their resolution, movies display their length, and all your socks are folded for you (just kidding about that last one). The Show Icon Preview option lets you learn even more about your files just by glancing at their icons. With this setting turned on, the Finder turns the icons for image files into tiny replicas of their images. Both of these options are nifty, but they can slow down your Finder windows, which is one good reason to keep them turned off (at least, until you get that nifty new quad-processor G6 desktop for your birthday).

I don t know that I ve ever met any great executives who would go to a company that doesn t value their people, that lives on the edge of is it right or is.

Figure 2.13. (Continued)

Perhaps our [psychologists in private industry] real function is that of a liaison of cer between our experimental workers and management under which function our chief duty would be to keep them very well informed on both sides, and display the

Select the first keyframe in a shape-tweened sequence. Choose Modify > Transform > Add Shape Hint. The beginning shape hint appears as a red circle with the letter a somewhere on the shape. Move the shape hint to a point that you want to mark. Select the last keyframe in the tweening sequence. The ending shape hint appears somewhere on the shape as a green circle with the letter a. Move the shape hint to the point in the ending shape that should correspond to the first point you marked. Run the movie again to see how the shape hints change the shape tweening. Move the shape hints to fine-tune the tweening. Repeat this process to add additional shape hints. New hints appear with the letters that follow (b, c, and so on).

[78] Newman D, Hettich S, Blake C and Merz C: UCI Repository of Machine Learning Databases University of California, Irvine, Dept of Information and Computer Sciences, 1998 Online: wwwicsuci edu/ mlearn/MLRepositoryhtml [79] Niles I and Pease A: Towards a Standard Upper Ontology Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS-2001, Ogunquit, Maine, October 2001), pp 2 9 [80] Nishikawa H, Yamamoto S, Tamai M, Nishigaki K, Kitani T, Shibata N, Yasumoto K and Ito M: UbiREAL: Realistic smartspace simulator for systematic testing Proceedings of the Conference on Ubiquitous Computing (UbiComp 2006, Orange County, California, September 2006), Lecture Notes in Computer Science 4206, Springer-Verlag, Berlin, 2006, pp 459 476 [81] Oliver N, Horvitz E and Garg A: Layered Representations for Recognizing Of ce Activity .

Database Backup The Crontab Format Scheduling the Backup Making Mass Changes Practicing Safe SQL Closing Old Comments The Forwarding Address Cloning or Moving Your Install Editing TrackBacks Deleting TrackBack Abuse Relocating Stray Comments Recovering Lost Passwords Global Search and Replace Summary 67 68 69 70 70 71 72 72 75 75 76 76 77 78.