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Proof The proof of this theorem is obtained in direct analogy to the proof of Theorem 733: all one has to do is to add the class attribute as an additional condition in all expressions referring to the tree considered in Theorem 733 This changes the occurring instances of mutual information to conditional mutual information and thus provides the proof of this theorem Note that, unfortunately, none of the above Theorems 731 734 can be transferred to possibilistic networks, as can be seen from the simple relational example discussed in Section 713 (cf Figure 74 on page 176) Nevertheless, the construction of a maximum weight spanning tree is a valuable heuristic method for learning possibilistic networks as well As mentioned above, an optimum weight spanning tree may also serve as the starting point for another algorithm.

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81 Why do naming and trading not contribute to achieving access transparency 82 C O RBA object identifiers contribute to achieving location transparencyas clients can use them to request a service from the objects Why is this not sufficient 83 Give reasons for organizing name servers hierarchically 84 What are the advantages of composite names 85 How many different C O RB A naming context objects can successfully reveal the same object 86 What are the two most important operations of any name server 87 Why does the list operation of the C O RBA Naming service return multiple name bindings rather than one binding at a time 88 What is the difference between the scope of names in C O RBA/IDL and the scope of names in the C O RBA Naming service 8.

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In the following we suggest an algorithm that can be seen as a modification of an algorithm mentioned above, namely the one by [Rebane and Pearl 1987] for constructing a polytree The basic idea of this algorithm is as follows: first an (undirected) maximum weight spanning tree is constructed Then this tree is enhanced by edges where a conditional independence statement implied by the tree does not hold (cf also Section 712) The main advantage of such an approach is that by introducing restrictions wrt to which edges may be added, we can easily control the complexity of the resulting graph a consideration that is usually important for applications (cf also Section 733) For example, we may allow adding edges only between nodes that have a common neighbor in the constructed optimum weight spanning tree.

L , ( Q , )= 6 , forall 1 5 ,

9 Whydoes the C O RBA Naming service not have a lookup operation that onlychecks whether a name has been defined 810 H ow can two different O RBs make their respective name servers known to each other 811 Explain the differences between naming and trading 812 When would you use naming and when would you use trading for locating objects 813 Who decides which technique is to be used, the engineer of the client object or the engineer of the server object 814 Apart from those engineers, who else is concerned with location of objects 815 What roles do components play in trading 816 Who plays the trader role when considering locating services in the yellow pages of the telephone directory 817 What are the principal trading operations 8.

With this restriction the suggested algorithm is very closely related to the algorithm by [Rebane and Pearl 1987]: directing two edges so that they converge at a node is equivalent to adding an edge between the source nodes of these edges to the corresponding moral graph24 However, our approach is slightly more general as can be seen from Figure 714 The two dotted edges cannot both be the result of marrying parents As a consequence, it can learn undirected graphs that are more complex than moral graphs of polytrees An interesting further restriction of the edges that may be added is the following requirement: if all edges of the optimum weight spanning tree are removed, the remaining graph must be acyclic This condition is interesting, because it guarantees that the resulting graph has hypertree structure and that its maximal cliques comprise at most three nodes..

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