Andrew Borden

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Our problem is to build a maximally efficient Bayesian classifier when each parameter has a different cost and provides a different amount of information toward the solution. This is an extremely computationally expensive problem. We accept a sub-optimal, although demonstrably good, solution based on Shannon's definition of Information and Uncertainty. Our(More)
This article presents the Information System used by the State Agency for Civil Protection of the Republic of Bulgaria (IS-CPRB). The IS-CPRB is designed for collecting, processing and distributing up-to-date analyses, assessments and information on chemical, biological and hydrometeorological emergencies as well as emergencies related to radiation, traffic(More)
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