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WPS to PDF - Convert WPS ( WPS Office ) file to PDF (Portable Document Format) file online for free - Convert PDF file online . 2, 02), and (3) to be used as a way to rank hypotheses15 Used in this more limited way, such proponents argue that the certainty factors approach can produce good results, achieved with far fewer calculations than the Bayesian approach MYCIN, after all, was deemed to render reasonably good recommendations in the diagnosis of bacterial infections Furthermore, there are many domains in which probabilities are unknown or are simply too dif cult to obtain Therefore, the question arises as to whether Bayesian networks, and the representation of uncertainty as probabilities, might be too biased to produce meaningful results Some have argued that the certainty factors approach offers a simple alternative for dealing with uncertainty in expert systems when statistical data are lacking In recent years, the AI community has shifted toward a Bayesian approach in dealing with the problem of uncertainty and inexact reasoning. There are two primary reasons for this recent development First, it has been only in the last few decades that ef cient algorithms have been created to calculate and propagate the probabilities in a Bayesian network (See, for example, Pearl16 , Lauritzen and Spiegalhalter17 , and others) For the rst time, real-world problems of realistic size can be solved using these algorithms Although there is no known algorithm that will work for all types of Bayesian networks, the algorithms that exist today work reasonably well for many types of problems Research continues today on the development of more algorithms to solve more types of problems Second, software tools have been created that automatically calculate the probabilities for us Even in the simple example ve-node Bayesian network described earlier (see Figure 814), the calculations are laborious and time-consuming to do by hand. Companies such as Hugin18 and AgenaRisk19 have developed software tools that have enabled fast computations even for large Bayesian networks Researchers and practitioners who are not specialists in Bayesian networks can now build and run Bayesian networks with relatively easy to use graphical user interfaces Because of these trends, the popularity of Bayesian networks has grown rapidly in recent years Applications are proliferating in many different domains including medical diagnosis, risk analysis, and equipment fault diagnosis (Microsoft and Hewlett-Packard have famously used Bayesian networks for fault diagnosis) The future of Bayesian networks, and the use of causal diagrams to illustrate inexact reasoning, looks promising.. Lab 5 describes one way of implementing Galois field arithmetic in a computer using two tables. In this section, we present a way of computing operations using one table of Zech logarithms, as well as some concepts for hardware implementation. 5.6.1 Zech Logarithms In a Galois field G F ( 2 m ) the Zech logarithm z ( n ) is defined by , . . . . . . . . . . . . . . . convert pdf to wps writer online Convert WPS to PDF online
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