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MCAD and MCMICKEYMOUSE ( vb . net ) ---- ... NET managed way of doing it? If not ... You can use iTextSharp to convert a multipage tiff to a pdf . where p(d|cj ) is the probability of generating instance d given class cj , p(cj ) is the probability of occurrence of class cj , and p(d) is the probability of instance d occurring Of these, p(d) can be ignored since it is the same for all classes p(cj ) is simply the fraction of training instances that belong to class cj Finding p(d|cj ) exactly is dif cult, since it requires a complete distribution of instances of cj To simplify the task, naive Bayesian classi ers assume attributes have independent distributions, and thereby estimate p(d|cj ) = p(d1 |cj ) p(d2 |cj ) p(dn |cj ) That is, the probability of the instance d occurring is the product of the probability of occurrence of each of the attribute values di of d, given the class is cj The probabilities p(di |cj ) derive from the distribution of values for each attribute i, for each class class cj This distribution is computed from the training instances that belong to each class cj ; the distribution is usually approximated by a histogram For instance, we may divide the range of values of attribute i into equal intervals, and store the fraction of instances of class cj that fall in each interval Given a value di for attribute i, the value of p(di |cj ) is simply the fraction of instances belonging to class cj that fall in the interval to which di belongs A signi cant bene t of Bayesian classi ers is that they can classify instances with unknown and null attribute values unknown or null attributes are just omitted from the probability computation In contrast, decision tree classi ers cannot meaningfully handle situations where an instance to be classi ed has a null value for a partitioning attribute used to traverse further down the decision tree. vb.net itextsharp tiff to pdf: VS 2008 Convert TIFF to PDF ?-VBForums vb.net convert tif to pdf How to convert . tiff image file to . pdf file without using any 3rd ...
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