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Using Barcode printer for .NET Control to generate, create barcode image in .NET pplications. There are those feature selectors that require the ser to state how many features are to be chosen, or they must supply a threshold that determines when the algorithm should terminate. All of these require users to make decisions based on their own (possibly faulty) judgments. It is most often the case that the values of attributes are both crisp and real valued , and this is where many feature selectors, particularly those based on traditional rough set theory, encounter a problem. It is not possible to say whether two attribute values are similar and to what extent they are the same; for example, two close values may only differ as a result of noise, but in RST they are considered to be as different as two values of a different order of magnitude. According to RST, the values 0.1 and 0.11 are as different as 0.1 and 300. One answer to this problem has been to discretize the dataset beforehand, producing a new dataset with crisp values. This is often still inadequate, however, as the degrees of membership of values to discretized values are not considered at all. For example, two values may both be mapped to the same label Negative, but one may be much more negative than the other. The values 0.1 and 2000 could both be mapped to this class, although they are signi cantly different.Related: 

Before we go further, we want to revisit the distinction we described in Values and Objects (page 13): values are immutable, so they re simpler and have no meaningful identity; objects have state, so they have identity and relationships with each other The more code we write, the more we re convinced that we should de ne types to represent value concepts in the domain, even if they don t do much It helps to create a consistent domain model that is more self-explanatory If we create, for example, an Item type in a system, instead of just using String, we can nd all the code that s relevant for a change without having to chase through the method calls Speci c types also reduce the risk of confusion as the Mars Climate Orbiter disaster showed, feet and metres may both be represented as numbers but they re different things1 Finally, once we have a type to represent a concept, it usually turns out to be a good place to hang behavior, guiding us towards using a more object-oriented approach instead of scattering related behavior across the code We use three basic techniques for introducing value types, which we ve called (in a t of alliteration): breaking out, budding off, and bundling up Breaking out When we nd that the code in an object is becoming complex, that s often a sign that it s implementing multiple concerns and that we can break out coherent units of behavior into helper types There s an example in Tidying Up the Translator (page 135) where we break a class that handles incoming messages into two parts: one to parse the message string, and one o interpret the result of the parsing Budding off When we want to mark a new domain concept in the code, we often introduce a placeholder type that wraps a single eld, or maybe has no elds at all As the code grows, we ll in more detail in the new type by adding elds and methods With each type that we add, we re raising the level of abstraction of the code Bundling up When we notice that a group of values are always used together, we take that as a suggestion that there s a missing construct A rst step might be to create a new type with xed public elds just giving the group a name highlights the missing concept Later we can migrate behavior to the new.

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the cause of the failure as possible In other words, the string representation of an exception should capture the failure for subsequent analysis To capture the failure, the string representation of an exception should contain the values of all parameters and fields that contributed to the exception For example, an IndexOutOfBounds exception's detail message should ontain the lower bound, the upper bound, and the actual index that failed to lie between the bounds This information tells a lot about the failure Any or all of the three values could be wrong The actual index could be one less than the lower bound or equal to the upper bound (a fencepost error ), or it could be a wild value, far too low or high The lower bound could be greater than the upper bound (a serious internal invariant failure) Each of these situations points to a different problem, and it greatly aids in the diagnosis if the programmer knows what sort of error to look for While it is critical to include all of the pertinent hard data in the string representation of an exception, it is generally unimportant to include a lot of prose The stack trace is intended to be analyzed in conjunction with the source files and generally contains the exact file and line number from which the exception was thrown, as well as the files and line numbers of all other method invocations on the stack Lengthy prose descriptions of the failure are generally superfluous; the information can be gleaned by reading the source code The string representation of an exception should not be confused with a user-level error message, which must be intelligible to end users Unlike a user-level error message, it is primarily for the benefit of programmers or field service personnel for use when analyzing a failure Therefore information content is far more important than intelligibility One way to ensure that exceptions contain adequate failure-capture information in their string representations is to require this information in their constructors in lieu of a string detail message The detail message can then be generated automatically to include the information For example, instead of a String constructor, IndexOutOfBoundsException could have had a constructor that looks like this:.

In traditional rough sets, it would be said that the attribute set {a, b, c} has a higher dependency value than {a, c, d} and so would make the better andidate to produce a minimal reduct. This may not be the case when considering real datasets that contain noise and other discrepancies. In fact it is possible. Barcode Scanner In .NET Using Barcode reader for . Computational Intelligence and Feature Selection: Rough and Fuzzy pproaches, by Richard Jensen and Qiang Shen Copyright 2008 Institute of Electrical and Electronics Engineers.Related: 

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We would expect the getAddCount method to return three at this point, but it returns six What went wrong Internally, HashSet's addAll method is implemented on top of its add method, although HashSet, quite reasonably, does not document this implementation detail The addAll ethod in InstrumentedHashSet added three to addCount and then invoked HashSet's addAll implementation using superaddAll This in turn invoked the add method, as overridden in InstrumentedHashSet, once for each element Each of these three invocations added one more to addCount, for a total increase of six: Each element added with the addAll method is double-counted We could fix the subclass by eliminating its override of the addAll method While the resulting class would work, it would depend for its proper function on the fact that HashSet's addAll method is implemented on top of its add method This self-use is an implementation detail, not guaranteed to hold in all implementations of the Java platform and subject to change from release to release Therefore, the resulting InstrumentedHashSet class would be fragile It would be slightly better to override the addAll method to iterate over the specified collection, calling the add method once for each element This would guarantee the correct result whether or not HashSet's addAll method were implemented atop its add method because HashSet's addAll implementation would no longer be invoked This technique, however, does not solve all our problems It amounts to reimplementing superclass methods that may or may not result in self-use, which is difficult, time-consuming, and error prone Additionally, it isn't always possible, as some methods cannot be implemented without access to private fields inaccessible to the subclass A related cause of fragility in subclasses is that their superclass can acquire new methods in subsequent releases Suppose a program depends for its security on the fact that all elements inserted into some collection satisfy some predicate This can be guaranteed by subclassing the collection and overriding each method capable of adding an element to ensure that the predicate is satisfied before adding the element This works fine until a new method capable of adding an element is added to the superclass in a subsequent release Once this happens, it becomes possible to add an illegal element to an instance of the subclass merely by invoking the new method, which is not overridden in the subclass This is not a purely theoretical problem Several security holes of this nature had to be fixed when Hashtable and Vector were retrofitted to participate in the Collections Framework Both of the above problems stem from overriding methods You might think that it is safe to extend a class if you merely add new methods and refrain from overriding existing methods While this sort of extension is much safer, it is not without risk If the superclass acquires a.

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