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which that neuron is the winner, referred to as the best matching neuron (BMN) Too many neurons also cause a substantial increase in computational complexity Too few neurons, on the other hand, will result in clusters with a high variance among the cluster members An approach to nd near optimal SOM architectures is to start training with a small architecture, and to grow the map when more neurons are needed One such SOM growing algorithm is given in Algorithm 45, assuming a square map structure Note that the map-growing process coexists with the training process Growing of the map is stopped when any one of the following criteria is satis ed: the maximum map size has been reached; the largest neuron quantization error is less than a user speci ed threshold, ; the map has converged to the speci ed quantization error A few aspects of the growing algorithm above need some explanation These are the constants , , and the maximum map size as well as the di erent stopping conditions A good choice for is 05 The idea of the interpolation step is to assign a weight vector to the new neuron ab such that it removes patterns from neuron kj with the largest quantization erro in order to reduce the error of that neuron A value less than 5 will position neuron ab closer to kj, with the chance that more patterns will be removed from neuron kj A value larger than 05 will have the opposite e ect The quantization error threshold, , is important to ensure that a su cient map size is constructed A small value for may result in a too large map architecture, while a too large may result in longer training times to reach a large enough architecture An upper bound on the size of the map is easy to determine: it is simply the number of training patterns, PT This is, however, undesirable The maximum map size is.

Effective Java: Programming Language Guide. Quick Response Code .exceptions to this rule For example, a field representing a serial number or other unique ID or a field representing the object's creation time will need to be fixed, even if it s primitive or immutable Is all this complexity really necessary Rarely If you extend a class that implements Cloneable, you have little choice but to implement a well-behaved clone method Otherwise,you are probably better off providing some alternative means of object copying or simply not providing the capability For example, it doesn't make much sense for immutable classes to support object copying, because copies would be virtually indistinguishable from the original A fine approach to object copying is to provide a copy constructor A copy constructor is simply a constructor that takes a single argument whose type is the class containing the constructor, for example,. Barcode Maker In Java Using Barcode generation for Java .Related: 

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An immutable class is simply a class whose instances cannot be modified All of the information contained in each instance is provided when it is created and is fixed for the ifetime of the object The Java platform libraries contain many immutable classes, including String, the primitive wrapper classes, and BigInteger and BigDecimal There are many good reasons for this: Immutable classes are easier to design, implement, and use than mutable classes They are less prone to error and are more secure. Effective Java: Programming Language Guide. Generate Data Matrix In Java Using Barcode generation for Java .Related: 

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GTIN - 13 Encoder In Visual Basic NET Using Barcode creation for In the given case this is true to a certain degree, effectively returning a similarity value of 05 he corresponding feature/similarity assessment (FS2) is represented in Table 62 together with a second feature/similarity assessment (FS1) based on the similarity of labels 4 Similarity aggregation: in general, there may be several similarity values for a candidate pair of entities from two ontologies, for example one for the similarity of their labels and one for the similarity of their relationship to other terms These different similarity values for one candidate pair must be aggregated into a single aggregated similarity value This may be achieved through a simple averaging step, but also through complex aggregation functions using weighting schemes For example, we only have to result of the parent concept comparison which leads to: simil(o1:Daimler,o2:Mercedes) 05 5.

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Interpretation: it uses the aggregated similarity values to align entities Some mechanisms here are, for example to use thresholds for similarity (Noy and Musen, 2003), to perform relaxation labeling (Doan et al, 2003), or to combine structural and similarity criteria simil(o1:Daimler,o2:Mercedes) 05 ! 05 leads to align(o1:Daimler) o2:Mercedes This step is often also referred to as matcher Semi-automatic approaches may present the entities and the alignment con dence to the user and let the user decide 6 Iteration: several algorithms perform an iteration (see also similarity ooding (Melnik et al, 2002)) over the whole process in order to bootstrap the amount of structural knowledge Iteration may stop when no new alignments are proposed, or if a prede ned number of iterations has been reached.

How a class behaves when its instances or static methods are subjected to concurrent use is an important part of the contract that the class establishes with its clients If you do not document this component of a class's behavior, the programmers who use the class will be forced to make assumptions If those assumptions are wrong, the resulting program may perform insufficient synchronization (Item 48) or excessive synchronization (Item 49) In either case, serious errors may result It is sometimes said that users can determine the thread safety of a method by looking for the presence of the synchronized modifier in the documentation generated by Javadoc This is wrong on several counts While the Javadoc utility did include the synchronized modifier in its output in releases prior to 12, this was a bug and has been fixed The presence f the synchronized modifier in a method declaration is an implementation detail, not a part of the exported API Its presence does not reliably indicate that a method is thread safe; it is subject to change from release to release Moreover, the claim that the presence of the synchronized keyword is sufficient to document thread safety embodies the common misconception that thread safety is an all-ornothing property In fact, there are many levels of thread safety that a class can support To enable safe multithreaded use, a class must clearly document in prose the level of thread safety that it supports The following list summarizes the levels of thread safety that a class can support This list is not meant to be exhaustive, but it covers the common cases The names used in this list are not standard because there are no widely accepted conventions in this area:.

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Note that in a subsequent iteration one or several of steps 1 through 5 may be skipped, because all features might already be available in the appropriate format or because some similarity computation might only be required in the rst round We use the intermediate results of step 5 and feed them again into the process and stop after a prede ned number of iterations The output of the alignment process is a mapping between the two input ontologies We cannot in general assume that all mappingsRelated: .

12. Make QR Code In VB.NET Using Barcode maker for .NET framework Control . This chapter describes the CompuServe GIF format and the LZW compression method used o compress image data in this format Until recently, CompuServe GIF (Graphics Interchange Format) was the most widely used format for image storage In 1987 CompuServe published the first GIF specification called GIF87a This specification was freely distributed, and the format was adopted by practically every image processing application CompuServe later released an enhanced, upwardly compatible version of the standard known as GIF89a However, most GIF images use only the features in GIF87a The main features of GIF are: Up to 256 colors using 1 to 8 bits per pixel Multiple images per file Because of its better compression and greater color depth, JPEG has generally replaced GIF for photographic images GIF continues to be used for other applications, but legal entanglements have certainly condemned it to obsolescence.Related: Data Matrix Generating Excel , EAN 128 Generator Java , Excel Intelligent Mail Generator

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Example 2 Seller Financing (9% 15 years) Amount Annual Principal/Interest Payment Balloon at end of 5th year $133,786 Testing Estimated Business Value Return: Net ash Stream to Be Valued Less: Annual Bank Debt Service (P&I) Less: Annual Seller Debt Service (P&I) Pretax Cash Flow Add: Principal Reduction Pretax Equity Income Less: Estimated Depreciation (Let s Assume) Less: Estimated Income Taxes (Let s Assume) Net Operating Income (NOI).*Debt service includes an average $24,000 annual principal payment that is traditionally recorded on the balance sheet as a reduction in debt owed This feature recognizes that he owned equity in the business increases by this average amount each year. Visual Studio .NET Using Barcode encoder for ASP .Related: 

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