Data-driven Generation of Policies (SpringerBriefs in by Austin Parker,Gerardo I. Simari,Amy Sliva,V.S. Subrahmanian PDF

By Austin Parker,Gerardo I. Simari,Amy Sliva,V.S. Subrahmanian

This Springer short offers a simple set of rules that offers an accurate way to discovering an optimum country swap try, in addition to an superior set of rules that's outfitted on best of the well known trie information constitution. It explores correctness and algorithmic complexity effects for either algorithms and experiments evaluating their functionality on either real-world and artificial information. issues addressed contain optimum nation switch makes an attempt, country switch effectiveness, diverse form of influence estimators, making plans lower than uncertainty and experimental evaluate. those issues may also help researchers research tabular facts, whether the information comprises states (of the area) and occasions (taken by means of an agent) whose results aren't good understood. occasion DBs are omnipresent within the social sciences and will comprise various eventualities from political occasions and the nation of a rustic to education-related activities and their results on a college procedure. With a variety of functions in laptop technology and the social sciences, the data during this Springer short is effective for pros and researchers facing tabular info, synthetic intelligence and knowledge mining. The purposes also are necessary for advanced-level scholars of laptop science.

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Data-driven Generation of Policies (SpringerBriefs in Computer Science) by Austin Parker,Gerardo I. Simari,Amy Sliva,V.S. Subrahmanian


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