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Explicit Generalization as Generalization of Semantic Generalization
2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence, 2015The semantic generalization was proposed. This generalization makes it possible for a kind of class to have attributes by considering the semantics of the attributes of the subclasses even if there is no common attribute in the subclasses. The attributes generalized can be specified by users rather than automatically decided.
Teruhisa Hochin, Hiroki Nomiya
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Generalized Beta-Generated Distributions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carol Alexander +3 more
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ACM SIGMETRICS Performance Evaluation Review, 2020
Large-scale systems are everywhere, and deciding how to dispatch an arriving job to one of the many available servers is crucial to obtaining low response time. One common scalable dispatching paradigm is the "power of d," in which the dispatcher queries d servers at random and assigns the job to a server based only on the state of the queried servers.
Jazeem Abdul Jaleel +3 more
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Large-scale systems are everywhere, and deciding how to dispatch an arriving job to one of the many available servers is crucial to obtaining low response time. One common scalable dispatching paradigm is the "power of d," in which the dispatcher queries d servers at random and assigns the job to a server based only on the state of the queried servers.
Jazeem Abdul Jaleel +3 more
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A Generalization of the Least General Generalization
1994Abstract In this chapter, we present a polynomial time algorithm, called a k-minimal multiple generalization (k-mmg) algorithm, where k ≥ 1, and its application to inductive learning problems. The algorithm is a natural extension of the least general generalization algorithm developed by Plotkin and Reynolds.
Hiroki Arimura +3 more
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