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as an animated gear, illustrates an activity indicator in use (Figure 11-1) When I start the Amazoncom application, it fetches my content from its web server Fetching this content takes time how much time, the application doesn t know and so the application uses a UIActivityIndicatorView Using a UIActivityIndicatorView in an application is easy Begin the indicator s animation by calling its startAnimating method, and stop the indicator s animation by calling the stopAnimating method If you wish to hide the indicator when not animated, set the property hidesWhenStopped to YES You can also specify the activity indicator s size and style using its activityIndicatorViewStyle property The indicator types are large white (UIActivityIndicatorV iewStyleWhiteLarge), white (UIActivityIndicatorViewStyleWhite), and gray (UIActivityView StyleGray) Figure 11-2 illustrates setting this property in Interface Builder Figure 11-3 shows the three styles in iPhone Simulator

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We live in an analog world Our perceptions are stimulated by information in smooth, unbroken form, such as sound waves that apply varying pressure on our eardrums, a mercury thermometer showing infinitely measurable detail, or a speedometer dial that moves continuously across its range Digital information, on the other hand, is a series of snapshots of analog values coded as numbers, like a digital thermometer that reads 715 degrees or a digital speedometer that reads 69 mph1 The first recording techniques all used analog methods changes in physical material such as wavy grooves in plastic disks, silver halide crystals on film, or magnetic oxides on tape After transistors and computers came on the scene, it was discovered that information signals could be isolated from their carriers if they were stored in digital form One of the big advantages of digital information is that it is infinitely malleable It can be processed, transformed, and copied without losing a single bit of information Analog recordings always contain noise (such as tape hiss) and random perturbations, so each successive generation of recoding or

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11:

There are endless debates about whether the true nature of our world is analog or digital Consider again the thermometer At a minute enough level of detail, the readings cannot be more accurate than a molecule of mercury Physicists explain that the sound waves and photons that excite receptors in our ears and eyes can be treated as waves or as particles Waves are analog, but particles are digital Research shows that we perceive sound and video in discrete steps so that our internal perception is actually a digital representation of the analog world around us There are a finite number of cones in the retina, similar to the limited number of photoreceptors in the CCD of a digital camera At the quantum level, all of reality is determined by discrete quantum energy states that can be thought of as digital values However, for the purposes of this discussion, referring to gross human perception, it is sufficiently accurate to say that sound and light, and our sensation of them, are analog

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Eclipse Birt Barcode Component - J4L Components
The J4L Barcodes are integrated in Eclipse Birt 4.3 or later. The components support 1D barcodes, PDF417, Datamatrix , QRCode, Azteccode and Maxicode.

Any system that classifies new instances according to Equation (618) is called a Bayes optimal classzjier, or Bayes optimal learner No other classification method using the same hypothesis space and same prior knowledge can outperform this method on average This method maximizes the probability that the new instance is classified correctly, given the available data, hypothesis space, and prior probabilities over the hypotheses

1 Create a new View-based Application Name the application ActivityAndProgress 2 Open ActivityAndProgressViewController, add an IBOutlet for a UIActivityIndicatorView,

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For example, in learning boolean concepts using version spaces as in the earlier section, the Bayes optimal classification of a new instance is obtained by taking a weighted vote among all members of the version space, with each candidate hypothesis weighted by its posterior probability Note one curious property of the Bayes optimal classifier is that the predictions it makes can correspond to a hypothesis not contained in H! Imagine using Equation (618) to classify every instance in X The labeling of instances defined in this way need not correspond to the instance labeling of any single hypothesis h from H One way to view this situation is to think of the Bayes optimal classifier as effectively considering a hypothesis space H' different from the space of hypotheses H to which Bayes theorem is being applied In particu' lar, H effectively includes hypotheses that perform comparisons between linear combinations of predictions from multiple hypotheses in H

3 Open ActivityAndProgressViewControllerxib in Interface Builder 4 Drag a button and activity indicator view from the library to the view s canvas (Figure 11-4) 5 Connect the File s Owner doIt action to the button s Touch Up Inside event Connect the