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Building UWP Barcode Reader with C++/WinRT and JavaScript
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In this chapter we study methods for learning the global structure of a graphical model from data By global structure we mean the structure of the graph underlying the model As discussed in Section 417, this graph indicates which conditional or marginal distributions constitute the represented decomposition In contrast to this the term local structure refers to regularities in the individual conditional or marginal distributions of the decomposition, which cannot be exploited to achieve a finer-grained decomposition, but may at least be used to simplify the data structures in which the distributions are stored Learning such local structure, although restricted to directed graphs (that is, conditional distributions), is the subject of the next chapter In analogy to 3 we introduce in Section 7.

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The technical issues surrounding this are discussed on page 316 In service terms, this could mean, for example, the offer of assistance being made when the customer has progressively narrowed their navigation into a focused range of products Indecision might be detected by the switching back and forward between one or two of them At this point, the intervention of a trained assistant might be all that is required to clinch the sale (One is reminded of the dictum, Financial services are sold, not bought ).

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But should a decision be taken, on this information Has not risk assessment been misused Risk practitioners have to balance and to take into account the case for as well as the case against The question ethically, professionally or legally is not whether the risk of harm is suf ciently low It is not just that we do not have a test for what would constitute suf ciently low It is a moral or value judgement rather than a scienti c test The question is whether the case against this particular patient being discharged is outweighed by the case in favour This is so even in cases of terminal care, or services for elderly mentally ill people where practice has to focus on slowing and reducing, rather than preventing, decline and disability The question involves balance and choice between alternatives.

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Building UWP Barcode Reader with C++/WinRT and JavaScript
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stems to more frequent ow and ice drive disturbance and potentially limiting future recruitment to unconstrained reaches where stems established at lower elevations are likely to survive. The importance of large ood pulses in positioning cottonwoods above the zone of ice drive disturbance is suggested by a comparison of recorded daily peak water and ice stages at the Virgelle gauge for the postdam period (1954 1997) (Figure 5-16). Ice was recorded in most years, and in 61 percent of these years the ice stage exceeded the ow stage. The only year in which the recorded ood stage was not subsequently eclipsed by ice was 1964 (Figure 5-16). Of the seven sampled cottonwood stems that established in association with this event, all were positioned more than 1.5 m above the active channel shelf

1 the general principles of learning the global structure of a graphical model based on some simple examples (actually the same examples as in 3 in order to achieve a coherent exposition), which are intended to provide an intuitive and comprehensible background We discuss these examples in the same order as in 3, that is, we start with the relational case and proceed with the probabilistic and the possibilistic cases The rationale is, again, to emphasize with the relational case the simplicity of the ideas, which can be disguised by the numbers needed in the probabilistic or the possibilistic cases Although three major approaches can be distinguished, the structure of all learning algorithms for the global structure of a graphical model is very similar.

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if ( myConn != null ) myConn.close() ; } catch ( SQLException sqlEx ) {sqlEx.printStackTrace();} } //Utility method from 14 that establishes a connection private Connection getConnection() { String jndiDBName = "java:comp/env/jdbc/stock" ; try { InitialContext jndiCtx = new InitialContext() ; DataSource stockDS = (DataSource) jndiCtx.lookup(jndiDBName); return stockDS.getConnection() ; } catch (NamingException ne) {throw new EJBException( ne );} catch (SQLException sqlEx) {throw new EJBException( sqlEx );} } // EJB methods. Most of these methods are dummy implementations. // However, the SessionBean interface requires the implementing // class provide implementations of ALL the methods. public void ejbActivate() { } public void ejbPassivate() { } public void ejbRemove() { } public void ejbCreate() throws CreateException { } public void setSessionContext(SessionContext sessionContext) { mySessionContext = sessionContext; } }

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