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WC. Evaluation of critical cases is often done by a small margin of difference from the threshold. Although the binary WC may not be quite certain about evaluating a particular feature against the adopted threshold (which itself is also determined heuristically, therefore is not fully accurate), the current AdaBoost machine assigns the full weight to the decision on the corresponding WC. Stojmenovic [24,25] therefore described an AdaBoost machine based on a fuzzy WC. More precisely, the described system proposes a speci c function for making decisions, while Schapire [23] left this choice unspeci ed. The system produces a doubly weighted decision. Each WC receives a corresponding weight , then each decision is made in the interval [ 1, 1]. The WC then returns the product of the two numbers, that is, a number in the interval [ , ] as its recommendation. The sum of all recommendations is then considered. If positive, the majority opinion is that the example is a positive one. Otherwise, the example is a negative one. 11.4.3 Generating the Training Set

The rst column consists of the actual waiting times, and the second column consists of a censoring indicator, which is 0 if the observation is censored and 1 if the event of interest occurred The rst row of each le has the column headings In this case they are T for the waiting time and C for the censoring indicator In review, to use the programs, the user must create a directory in the cdhist directory for each new application, put the corresponding data in this directory, and make application-speci c modi cations to the cdhr le As mentioned previously, the end result from the program is a histogram for each state-to-state waiting time The user has the option of overlaying rough estimates of four parametric models, individually or as a group, on each censored data histogram The estimated densities are the exponential, gamma, Weibull, and inverse Gaussian.

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The next <triple> test searches for the relationship beginning with urn:root , using the predicate nc:hierarchy (short for http://home.netscape.com/NC-rdf#hierarchy/), and a binding variable hierarchy. As we look at the graph in Figure 6.4, we see that the

Leprosy is caused by Mycobacterium leprae infection of skin, nerves and mucous membranes. It affects about 600 000 new patients each year, mainly in the Indian subcontinent and parts of Africa and South America. The incidence is falling in response to an international eradication programme, but there are still between 1 and 2 million people worldwide who are disabled by the chronic sequelae of the disease. The milder, paucibacillary form causes hypopigmented skin macules. The macules have reduced pain and light touch sensation. The more severe, multibacillary form causes larger symmetrical skin lesions, nodules and plaques. Patients with this form of the disease are more likely to get a slowly progressive multifocal neuropathy ( 9, see p. 146). Individual peripheral nerves become thickened and there is wasting, weakness and anaesthesia in the distribution of these nerves. Treatment requires combination antibacterial therapy, with rifampicin and dapsone, combined with clofazimine in multibacillary cases.

what the server will do: send down a return message to the browser which, in turn, displays it on the user s screen. The message that has been sent, is a Web page, which in nearly all cases today, been composed using the Hypertext Mark-up Language (HTML). In general, a Web page is a document, usually written in HTML, held within a le, where the le can be accessed over the Web. HTML is a much-simpli ed version of the Standard Generalised Markup Language, (SGML) [27], a fairly complex electronic publishing language. This not only speci es the layout of documents but allows their detailed structure and, indeed, their context within an organisation, to be described in a manner that is unambiguous and which can be processed by machines. SMGL might at one time have been a potential candidate for the programming language to be used to describe complex inter-business transactions such we shall discuss in Part 2. However, it has probably lost out to a rather simpler candidate, the Extensible Markup Language, XML, which we discuss in more detail in Part 2, Managing eBusiness Knowledge. Like most desktop publishing software, HTML surrounds the text intended to be viewed by the user, by additional meta information giving further instructions to the browser that displays it. If you are not familiar with the concept, it is a good idea to look at some speci c examples. An example of an HTML page is the default browser screen itself. Start up your browser. Then, to view the source code for what is visible to you, select source from the view option on the browser toolbar. For instance, doing so whilst viewing the introductory page of Internet Explorer, will display the following text:

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