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where P(c) is an abbreviation of P(C = c) etc. With this measure it is easy to detect that, in the example distribution of Figure 3.11 on page 75, the attributes A and C are conditionally independent given the attribute B. If we are not given a probability distribution (as we have assumed up to now), but instead a database of sample cases, it is clear that we have to estimate the conditioned joint distributions of the attributes, for which we want to test whether they are conditionally independent. Of course, this can lead to problems if the order of the tests is large, where the order of a conditional independence test is the number of conditioning attributes. If the number of conditioning attributes is large, there may be too few tuples having certain instantiation of these attributes to estimate reliably the conditioned joint distribution of the two test attributes. Actually this is a serious drawback of this method, although there are heuristic approaches to amend it (cf. Section 7.3), like, for instance, fixing an upper bound for the order of the tests to be carried out and assuming that all tests of higher order will fail if all tests with an order up to this bound failed. Finally, let us consider the third approach to learning a graphical model, which is based on measuring only the strengths of (marginal) dependences. As in the relational case, we may use the same measure as for the (approximate) independence tests. For the simple example discussed above we may apply the Kruskal algorithm with mutual information providing the edge weights (cf. Figure 7.6). This leads to a construction of graph 5 of Figure 7.5, in agreement with the results of the other two learning methods.

Figure 11.9 Representation of the potential table of the failure class variable of a Bayesian network induced by INES. The class variable had two parent nodes. The cross-haired circle corresponds to 943 cars for which the dependence on the parent attributes (denoted A and B) was unknown to the engineers.

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It s easier. You can gradually figure out how to find what you want instead of coming up with a big bang solution. You get confidence in what you ve found. As you take small steps towards your goal, you find additional context that confirms you ve found the right thing. You learn as you orienteer. Teleporting directly to an answer doesn t give your mind any extra food. Orienteering gives you the information you wanted plus extra useful information as well.

102.5 = 100 + 100 * 5% * 1/2

diagram of the typical business processes involved, is given in Figure 2.4. See [117] for a more detailed description. Note that the accounting basis for ERP is evident, through the central role of the General Ledger. The dominant supplier of ERP software and consultancy is SAP [118]. Taking SAP as the exemplar ERP software, it is instructive to note the structure of the top level modules (Table 2.2). Again the accounting basis is re ected in the many references to nancial controls.

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Although welfare of the client is of primary importance, the supervisor is also obligated to consider the welfare of the supervisee. Supervisors are in a position of greater power than supervisees, and are expected to advocate for the welfare of the supervisee (Knapp & VandeCreek, 1997). In Case 11 2, Carrie needs to work with Ben to chose a course of action that will relieve Ben of the inappropriately assigned duties but still make in possible for him to have a positive working relationship with the assistant principal involved. Practitioners new to a school district may feel overwhelmed by requests for assistance from teachers and others, particularly when faced with a backlog of referrals. Consequently, it is advisable for supervisors to introduce beginning practitioners and interns at a school staff meeting, and to clarify their role and how work assignments will be delegated and prioritized (NASP-PPE, III, E, IV, B, #3). Autonomy and Self-Determination The use of a professional disclosure statement is a means of ensuring that the supervisee makes an informed choice when entering a supervisor-supervisee

& Young LLP Canada, (Toronto: Ernst & Young, 2001). Poll conducted by Ipsos-Reid between October 4 15, 2001.

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