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Lecture Notes in Computer Science
We present in this paper a framework of approximate probabilistic inference which is based on three simple concepts. First, our notion of an approximation is based on "relaxing" equality constraints, for the purposes of simplifying a problem so that it can be solved more readily. Second, is the concept of "compensation," which calls for imposing weaker notions of equality to compensate for the relaxed equality constraints. Third, is the notion of "recovery," where some of the relaxed equalitydoi:10.1007/978-3-642-25655-4_16 fatcat:vrsjf5zs2nhdtmg4spleghv4vu