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We consider the problem of predicting three procedures, viz, EKG, Angioplasty and Valve Replacement procedures jointly from Electronic Health Records (EHR) and develop a discriminative boosted Bayesian network algorithm. Differences between our proposed approach and standard Bayes Net structure learners are (1) we do not assume that the number of features (observations) are uniform across training...
Exact document interpretation is very important to semantic document exchange. An essential issue for document interpretation is to maintain semantic consistency of the exchanged documents between any two autonomous business communities, where the document sender and receiver have no misunderstanding in using the exchanged documents. Existing approaches to resolving this issue adopt document standards...
An electronic marketplace (e-marketplace) is a common business information space populated with many entities of different system types. Each of them has its own context of how to build and process documents. This leads to heterogeneous e-marketplace documents in terms of syntax and semantics, which are difficult to make interoperation and inference from one entity to another. This paper proposes...
Exact document interpretation is very important to semantic document exchange. An essential issue for document interpretation is to maintain syntactic and semantic consistency of the exchanged documents between any two autonomous business communities, where the document sender and receiver have no misunderstanding in using the exchanged documents. Existing approaches to resolving this issue mainly...
We consider the problem of learning probabilistic models from relational data. One of the key issues with relational data is class imbalance where the number of negative examples far outnumbers the number of positive examples. The common approach for dealing with this problem is the use of sub-sampling of negative examples. We, on the other hand, consider a soft margin approach that explicitly trades...
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