Problem Solving Strategies in a System for Computer Aided Diagnosis
Problem Solving Strategies in a System for Computer Aided Diagnosis
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In our eReader you can find the full English version of the book. Read Problem Solving Strategies in a System for Computer Aided Diagnosis Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Problem Solving Strategies in a System for Computer Aided Diagnosis
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To quickly assess the difficulty of the text, read a short excerpt:
When called upon for the conditional probability P(A/M), the routine discovers the attribute cluster for A and B on the state list for M, The name of the cluster relationship (stored in the cluster) and the arguments of the relationship are passed to the in- terpreter. The interpreter evaluates the predicate which defines the relationship for the arguments A and B. Notice, however, that although A has been observed, there is no information about B cur- rently available. This situation occurs qu...ite often in sequential diagnosis. That is, the interpreter is often confronted with re- lationships which do not have a complete set of arguments (i. E. The values of some of the arguments are unknown) . The interpreter deals with this problem by assuming the truth of any relationship predi- cate which is not demonatrably false in view of the history of the diagnosis. This strategy results in predicate values which can be employed by PIJ in a manner consistent with Bayesian inference.
Thus, in the above example, the interpreter indicates that the relationship i^ satisfied.
What to read after Problem Solving Strategies in a System for Computer Aided Diagnosis?
You can find similar books in the "Read Also" column, or choose other free books by George Anthony Gorry to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
When called upon for the conditional probability P(A/M), the routine discovers the attribute cluster for A and B on the state list for M, The name of the cluster relationship (stored in the cluster) and the arguments of the relationship are passed to the in- terpreter. The interpreter evaluates the predicate which defines the relationship for the arguments A and B. Notice, however, that although A has been observed, there is no information about B cur- rently available. This situation occurs qu...ite often in sequential diagnosis. That is, the interpreter is often confronted with re- lationships which do not have a complete set of arguments (i. E. The values of some of the arguments are unknown) . The interpreter deals with this problem by assuming the truth of any relationship predi- cate which is not demonatrably false in view of the history of the diagnosis. This strategy results in predicate values which can be employed by PIJ in a manner consistent with Bayesian inference.
Thus, in the above example, the interpreter indicates that the relationship i^ satisfied.
What to read after Problem Solving Strategies in a System for Computer Aided Diagnosis?
You can find similar books in the "Read Also" column, or choose other free books by George Anthony Gorry to read onlineMoreLess
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