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Naive Bayes classi cation assumes that the attributes are conditionally independent given the value of the target variable. This assumption may in fact be too strong for environments where dependence exists among the predictor variables. Bayesian belief networks (BBNs) are designed to allow joint conditional independencies to be de ned among subsets of variables. BBNs, also called Bayesian networks or Bayes nets, take the form of a directed acyclic graph (DAG), where directed means that the arcs are traversed in one direction only, and acyclic means that no child node cycles back up to any progenitor. An example of a Bayesian network in the form of a DAG is shown in Figure 5.8. The nodes represent variables, and the arcs represent the (directed) dependence among the variables. In general, node A is a parent or immediate predecessor of node X , and node X is a descendant of node A, if there exists a directed arc from node A to node X . The intrinsic relationship among the variables in a Bayesian network is as follows: r Each variable in a Bayesian network is conditionally independent of its nondescendants in the network given its parents. Thus, we have

Perspectives in Biology and Medicine, 29, 437 460 Cloninger, C R, Sigvardsson, S, Bohman, M, & von Knorring, A L (1982) Predisposition to petty criminality in Swedish adoptees: II Cross-fostering analysis of gene-environment interactions Archives of General Psychiatry, 39, 1242 1247 Cloninger, C R, Svrakic, D M, & Przybeck, T R (1993) A psychobiological model of temperament and character Archives of General Psychiatry, 50, 975 990 Coccaro, E F, Siever, L J, Klar, H M, Maurer, G, Cochrane, K, Cooper, T B, et al (1989) Serotonergic studies in patients with affective and personality disorders Archives of General Psychiatry, 46, 587 599 Costa, P T, & Widiger, T A (Eds) (2002) Personality disorders and the Five-Factor Model of Personality (2nd ed) Washington, DC: American Psychological Association Degler, C N (1991).

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During the lecture, the outside world has not stopped and the dynamic organization of your lunch-time session progresses. The friend you were supposed to eat with has left the campus for personal reasons and was unable to tell you; you are informed through your location alert system that detects your friend s position is not compatible with your agenda. This is achieved through messages that are available only ondemand in order not to disturb you during the lecture. Thus you can know about the progression of the people you are interested in and can decide to organize your lunch with them. Of course, privacy issues are of prime importance. The notion of belonging to groups could be a way to cope with privacy: one person could be a member of a few groups, or all the groups (and hence be visible for everybody), or none of the groups (and hence not be visible ). For leisure activities, meteorological conditions could be taken into account, in order to determine whether the sailing is con rmed or not. Thus, knowing the locations of others and their movements, dynamic appointments could be managed. In the case of a typical lunch, restaurant availability could also be taken into account for the choice, as well as the time required to go to the restaurant, depending on the transportation means to be used. The synchronization, both in space and time, of all the participants could also be considered.

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In search of human nature: The decline and revival of Darwinism in American social thought New York: Oxford University Press Dionne, G, Tremblay, R, Boivin, M, Laplante, D, & Perusse, D (2003) Physical aggression and expressive vocabulary in 19-month-old twins Developmental Psychology, 39, 261 273 Farrington, D P (1998) Youth crime and antisocial behavior In A Campbell & S Muncer (Eds), The social child (pp 353 392) Hove, England: Psychology Press..

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