Results 261 to 270 of about 164,476 (314)
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2017
This chapter develops compound approximation spaces and their constrained versions defined for relational data. These spaces are constructed based on information systems and the tolerance rough set model extended to a relational case. The chapter also shows that in constrained compound approximations spaces it is possible to approximate not only a ...
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This chapter develops compound approximation spaces and their constrained versions defined for relational data. These spaces are constructed based on information systems and the tolerance rough set model extended to a relational case. The chapter also shows that in constrained compound approximations spaces it is possible to approximate not only a ...
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Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae, 2006This paper introduces a rough set approach to reinforcement learning by swarms of cooperating agents. The problem considered in this paper is how to guide reinforcement learning based on knowledge of acceptable behavior patterns. This is made possible by considering behavior patterns of swarms in the context of approximation spaces.
Peters, James F., Henry, Christopher
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2018
In this paper, the concept of S-approximation spaces is surveyed at first and then, the combination of different S-approximation spaces with different decider mappings S is considered, i.e. combining S-approximation spaces Gi = (Ui, Wi, Ti, Si) for i = 1, …, k.
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In this paper, the concept of S-approximation spaces is surveyed at first and then, the combination of different S-approximation spaces with different decider mappings S is considered, i.e. combining S-approximation spaces Gi = (Ui, Wi, Ti, Si) for i = 1, …, k.
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1991
Abstract The emphasis in the previous chapters has been on assessing the reliability of a binary system, whose components (nodes and/or edges) can be in either of two states (operating or failed). However, reliability is only one of a number of stochastic performance measures that might be of practical interest.
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Abstract The emphasis in the previous chapters has been on assessing the reliability of a binary system, whose components (nodes and/or edges) can be in either of two states (operating or failed). However, reliability is only one of a number of stochastic performance measures that might be of practical interest.
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Approximating Phenomenological Space
2006Architectural design requires a variety of representations to describe the many expressions a building can be observed through. Commonly, the form and space of a building are represented through the visual abstraction of projective geometry. The medium of geometric representation has become synonymous with architectural space.
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Approximate decidability in euclidean spaces
Mathematical Logic Quarterly, 2003AbstractWe study concepts of decidability (recursivity) for subsets of Euclidean spaces ℝk within the framework of approximate computability (type two theory of effectivity). A new notion of approximate decidability is proposed and discussed in some detail. It is an effective variant of F.
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Approximating Topological Spaces by Polyhedra
2005This survey paper discusses the problem of approximating topological spaces by polyhedra using various techniques based on inverse systems. It focuses on some of the author's contributions obtained over a period of forty five years. In particular, the paper lists properties preserved under inverse limits and states theorems concerning the ...
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The biofilm matrix: multitasking in a shared space
Nature Reviews Microbiology, 2022Hans-Curt Flemming +2 more
exaly
Order based hierarchies on hesitant fuzzy approximation space
International Journal of Machine Learning and Cybernetics, 2018Eric C. C. Tsang +3 more
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