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frequently a feature value occurs in the case base, the higher the probability that it is relevant to the new problem. Subsequently, with the help of adaptation knowledge (including case-speci c adaptation rules and the general knowledge base), the corresponding adaptation strategy can be determined. For those features whose relevance is above a given threshold, no adaptation is needed. On the other hand, for those features whose relevance is below a given threshold, adaptation is carried out to create the nal diagnosis for the patient. In general, arti cial neural networks (ANNs) are useful in medical case matching, selection, and retrieval, especially when there is insuf cient domain knowledge or relevant information. However, the user needs to consider the resources required for successful training of the ANNs. Other approaches, such as k-NN (k-nearest neighbor) and RBS (rule-based system), may be feasible alternatives if the domain knowledge is or can be made available. Another example of soft CBR application in medicine is the ELSI (error log similarity index) system [7,8]. It was developed to nd the error patterns automatically using diagnostic information from computed tomography (CT) scanners. The results are categorized and stored as cases that could be used by

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the sources of the emotional reactivity. The first step in the process is to highlight the emotions or reactions that are elicited by the particular circumstance or conflict. As a first approach, each member of the couple can be asked why he or she imagines he or she is having such a reaction:

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The argument that even countries running trade deficits are better off because they get to consume a mix of goods and services they wouldn t get otherwise rests solely on the benefits of trading things that have already been produced But an even better argument for international trade is the fact that it actually increases the total amount of output produced in the world, meaning that more output per person results, and overall living standards rise This argument, known as comparative advantage, was developed by the English economist David Ricardo in 1817 as a forceful rebuttal against import tariffs known as the Corn Laws, which heavily taxed imports of foreign-grown grain at the time These laws kept the price of grain high, and so the nobility that owned the vast majority of farmland favoured retaining them.

Fast Fourier Transform (FFT)

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Naturally, the poor were opposed because the laws drove up the price of their basic food supply: bread Ricardo pointed out that abolishing restrictions on international trade would, in addition to helping England s poor, actually make England and all the countries it traded with richer by encouraging them to specialise in the production of goods and services that each of them was able to produce at the lowest possible cost He demonstrated that this process of specialisation would increase total worldwide output and thereby raise living standards The logic behind the comparative advantage argument is most easily understood by thinking in terms of people instead of countries Consider a patent lawyer named Heather and her brother Adam, who works as a bike mechanic Heather is very good at filing patents for new discoveries, but she s also very good at repairing bicycles.

"" "" "" "" "" "" "" ""

In fact, she s faster at repairing them than her brother On the other hand, Adam can file patents as well, though not as quickly as Heather Table 4-1 lists how many bike repairs and patent filings each of them can do in one day if they put all their efforts into only one of the activities..

2.8

almost any human activity from medical treatments to popular music. For the purpose of this book though, the concept of fashion will be taken to deal with the garments and related products and services as shown in Figure 1.1. Figure 1.1 identi es some major categories of clothing along with their main usage situations, but this list is by no means exhaustive. Fashion marketers should take a broad view of their domain fashion is not only about clothes. The competitive ethos of the fashion industry revolves around seasonality. The industry has a vested interest in developing new products for the customer at the expense of existing items: this process is known as planned obsolescence. Planned obsolescence is not con ned to the fashion industry, it occurs in several other manufacturing sectors such as the electronics or automobile industries. While the concept of planned obsolescence can be criticized from several perspectives, many customers appreciate the continual change in fashion products and services. Unfortunately, the rate and direction

environment. RSVP-TE is currently being deployed on experimental research testbeds across the globe. Other signaling protocols are also being investigated for use in the Grid environment [2]. 12.3.2.2 Routing

FIGURE 8.10 Bayes predictive density and hazard function based on complete data (solid line), 80% incomplete data (dashed line), and deleted incomplete data (dotted and dashed line) for the Example 8.3.

R1

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