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sample almost certainly will be nonrepresentative of the market: It is unlikely that its curves will reflect those of the entire market that persist over time Any model built using a small sample will be capitalizing purely on the chance of sampling Whether curve-fitting is good or bad depends on if it was done to chance or to real market patterns, which, in turn, largely depends on the size and representativeness of the sample Statistics are useful because they make it possible to take curve-fitting into account when evaluating a system When dealing with neural networks, concerns about overtraining or generalization are tantamount to concerns about bad curve-fitting If the sample is large enough and representative, curve-fitting some real characteristic of the market is more likely, which may be good because the model should fit the market.



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tiple traffic types on a single network fabric. This means that IP, which is a Network Layer protocol, can be transported across an ATM backbone, allowing for the smooth and service-driven migration to an all-IP network. Eventually, ATM s overhead-heavy quality-of-service capabilities will be replaced by more elegant solutions but, until that time comes, it still plays a central role in the delivery of service. We will discuss all of these services in later chapters.





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Once you copy the Gestalt files at the web server root level, simply open a text editor and start writing your HTML file. It s that simple! The good thing is that dlr.js adds a Silverlight control on the page and provides all the necessary core requirements to enable dynamic language integration capabilities. For that, simply include the dlr.js file to the HTML page. <head> <script src="/dlr/dlr.js" type="text/javascript"></script> </head> Note that this inclusion of the dlr.js file will set up default settings for a DLR-based Silverlight application. If you would like to customize the default settings, you need to override the default settings by writing custom script code within the HTML file. For more details, please read Jimmy Schementi s paper on the Just-Text approach (http://ironpython.net/browser/sl-back-to-just-text.pdf).

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Once the CRC is calculated and the frame is fully constructed, the Data Link Layer passes the frame down to the Physical Layer, the lowest layer in the networking food chain This is the layer responsible for the physical transmission of bits, which it accomplishes in a wide variety of ways The Physical Layer s job is to transmit the bits; this includes the proper representation of zeroes and ones, transmission speeds, and physicalconnector rules.

On the other hand, if the sample is small, the model will almost certainly be fit to peculiar characteristics of the sample and not to the behavior of the market generally In neural networks, the concern about whether the neural network will generalize is the same as the concern about whether other kinds of systems will hold up in the future To a great extent, generalization depends on the size of the sample on which the neural network is trained The larger the sample, or the smaller the number of connection weights (parameters) being estimated, the more likely the network will generalize Again, this can be demonstrated mathematically by examining simple cases As was the case with regression, au estimate of shrinkage (the opposite of generalization) may be computed when developing neural networks.

For example, if the network is electrical, then what is the proper range of transmitted voltages required to identify whether the received entity is a zero or a one Is a one in an optical network represented as the presence of light or the absence of light Is a one represented in a copper-based system as a positive or as a negative voltage, or both Also, where is information transmitted and received For example, if pin 2 is identified as the transmit lead in a cable, which lead is data received over All of these physical parameters are designed to ensure that the individual bits are able to maintain their integrity and be recognized by the receiving equipment Many transmission standards are found at the Physical Layer, including T1, E1, SONET, SDH, DWDM, and the many flavors of DSL T1 and E1 are longtime standards that provide 1.

544 and 2048 Mbps of bandwidth respectively; they have been in existence since the early 1960s and occupy a central position in the typical network SONET, the Synchronous Optical Network, and SDH, the Synchronous Digital Hierarchy, provide standards-based optical transmission at rates above those provided by the traditional carrier hierarchy Dense Wavelength Division Multiplexing, or DWDM, is a frequency-division multiplexing technique that allows multiple wavelengths of light to be transmitted across a single fiber, providing massive bandwidth multiplication across the strand It will be discussed in detail later in the chapter on optical networking And DSL extends the useful life of the standard copper wire pair by.

Now you are all set to write XAML and IronRuby/IronPython code within the HTML file, which you can achieve by writing the XAML and IronRuby/IronPython code within the script tag.

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