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larger set of documents on the ADC website Many developers don t make as much use as they might of these resources because, frankly, they are not that obvious or accessible So here is a high-level guide to how to find and use the documentation that will help you cement your knowledge of Xcode, Cocoa, and Objective-C You might think that the best place to look for the documentation would be somewhere like /Developer/Documentation Sure enough, there is such a folder, but it doesn t look promising; there is a set of folders leading to Perl, Python, and other similar documentation (not much use to us here), and another folder called DocSets In this folder, you will find a number of docset packages Like any other Mac package, these are folders, and you can open them using the right-click contextual menu to show their contents.

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Upon encountering the third training example-in this case a negative example-the algorithm makes no change to h In fact, the FIND-Salgorithm simply ignores every negative example! While this may at first seem strange, notice that in the current case our hypothesis h is already consistent with the new negative example (i-e, h correctly classifies this example as negative), and hence no revision

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I Research Assistant, 1994 1995, Aerospace Division, Rockwell, Seal Beach, CA Member of team of computer scientists who evaluated test data on the performance of the Space Shuttle Orbiter designed and produced by Rockwell Results will be used in design of electrical power system for space station I Research Associate, 1995 present, Digital Data Processing, Massachusetts Institute of Technology, Lexington, MA Researched systems for more efficient data reduction and analysis as well as improved algorithms for signal processing and analysis I Research Associate, 1992 1994 Visual and Systems Interface, Cirrus Logic , Fremont, CA Assisted in research in the development of 2D/3D graphics, video, and power management chips for both desktop and portable PCs

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is needed In the general case, as long as we assume that the hypothesis space H contains a hypothesis that describes the true target concept c and that the training data contains no errors, then the current hypothesis h can never require a revision in response to a negative example To see why, recall that the current hypothesis h is the most specific hypothesis in H consistent with the observed positive examples Because the target concept c is also assumed to be in H and to be consistent h with the positive training examples, c must be moregeneral_than-or-equaldo But the target concept c will never cover a negative example, thus neither will h (by the definition of more-general~han) Therefore, no revision to h will be required in response to any negative example To complete our trace of FIND-S,the fourth (positive) example leads to a further generalization of h

You may like to explore these as this is where your local copy of the Developer Documentation resides The documentation is a collection of html and image files The sample code for the documentation set is also stored in this docset Your quickest and most effective route into the documentation (apart from using Quick Help) is via the Help Developer Documentation menu (or use Shift as a shortcut) You will see the main Developer Documentation window Apple s developer documentation can be a little difficult grasp, in my experience, so it s worth taking a moment to orient yourself in this window There are three main sections under the title Xcode Quick Start Under each section, each of which expands when you click on the Read More link, there are links to useful high-level resources.

(Sunny, Warm, , Strong, , )

The FIND-Salgorithm illustrates one way in which the more-generaldhan partial ordering can be used to organize the search for an acceptable hypothesis The search moves from hypothesis to hypothesis, searching from the most specific to progressively more general hypotheses along one chain of the partial ordering Figure 22 illustrates this search in terms of the instance and hypothesis spaces At each step, the hypothesis is generalized only as far as necessary to cover the new positive example Therefore, at each stage the hypothesis is the most specific hypothesis consistent with the training examples observed up to this point (hence the name FIND-S)The literature on concept learning is

We won t bother going into all of these here because we have covered the ground in earlier chapters; however, some of these resources are well worth reading as they have coverage beyond this book..

+ X3 = <Rainy Cold High Strong Warm Change>, x - <Sunny Warm High Strong Cool Change>, + 4x2 = <Sunny Warm High Strong Warm Same>,

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