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The requirement that both buyers and sellers have access to full and complete information guarantees that both are willing to negotiate without having to worry that the other person has secret information. (In 15, we explain how markets break down if one side or the other has more information.) The requirement that property rights be set up in such a way that buyers have to pay sellers ensures that there are sellers willing to provide the product. As a counter example, consider trying to sell tickets to an outdoor fireworks display. Because everyone knows that they can see the display for free, nobody wants to pay for a ticket. But if sellers can t sell tickets, they have no incentive to put on a display. (In 15, we discuss situations like these and how society must deal with them given that markets can t.)



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Each node sets its maximum power to the one that is needed in order to reach the most distant bidirectional connected neighbor. Passive realizations of the counting-based approach have been proposed as well. In the MobileGrid approach by Liu and Li [31] the current number of neighbor nodes is estimated by listening for control and data messages issued by neighboring devices. After a certain time-out interval the algorithm checks whether the number of discovered neighbors is within a certain interval, which is an external parameter tuned according to the network characteristics. If the number of neighbors is this interval, the device s own power level is proportionally increased or decreased. Passive neighbor discovery and power level adaption are performed periodically such that the power level gradually approaches the desired one. A similar approach is taken by the Local Information No Topology (LINT) protocol described by Ramanathan and RosalesHain [38]. LINT is intended to run in combination with a routing protocol where each node keeps a neighbor table used for routing. This already available information is exploited by LINT in order to determine whether the current number of neighbors is within a certain minimum and maximum threshold. If not satis ed, the node transmission power is gradually modi ed according to a function of the current and the desired node degrees. 15.4.4 Gabriel and Relative Neighborhood Graph





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Test developers have recognized the importance of standardizing ability and achievement measures on the same population so that the prevalence of various achievement-ability discrepancies can be calculated and reported by age group This information has become increasingly available in test manuals Regression analysis procedures also can be used to estimate the prevalence of achievement-ability discrepancies (Evans, 1996)..

Aj parents(Ai )

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This is the basic formula underlying naive Bayes classifiers. For a symbolic attribute Aj the conditional probabilities P(Aj = aj | C = ci ) are stored as a simple table. This is feasible now, since there is only one condition and hence only m mj probabilities have to be stored.3 For numeric attributes it is often assumed that the probability density is a normal distribution and hence only the expected values j (ci ) and the variances 2 (ci ) need to be stored in this j case. Alternatively, numeric attributes may be discretized (see, for example, [Dougherty et al. 1995]) and then handled like symbolic attributes. Naive Bayes classifiers can easily be induced from a dataset of preclassified sample cases. All one has to do is to estimate the conditional probabilities/probability densities f(Aj = aj | C = ci ) using, for instance, maximum likelihood estimation (cf. Section 5.2). For symbolic attributes this yields N(Aj = aj , C = ci ) P(Aj = aj | C = ci ) = , N(C = ci ) where N(C = ci ) is the number of sample cases that belong to class ci and N(Aj = aj , C = ci ) is the number of sample cases which in addition have the value aj for the attribute Aj . To ensure that the probability is strictly positive (see above), unrepresented classes are deleted. If an attribute value 1 does not occur given a class, it is common to either set its probability to 2N , where N is the total number of sample cases, or to add a uniform prior of

Like philosophers before him, Harris74 uses person technically, out of line with ordinary use (where it means human beings after infancy). He argues that a person must possess features that make her existence valuable to her. It is not necessary to be human to possess these features (there may be persons on other planets who are not human) nor does it follow that a human being is automatically a person. Harris quotes John Locke, who also wanted to distinguish persons from other creatures:

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