Special Issue “New Frontiers in Parameterized Complexity and Algorithms”: Foreward by the Guest Editors
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منابع مشابه
The Computer Journal Special Issue on Parameterized Complexity: Foreword by the Guest Editors
Parameterized complexity studies a generalization of the notion of polynomial time where, in addition to the overall input size n, one also considers the effects on computational complexity of a secondary measurement, the parameter. The central notion of the field is fixed-parameter tractability (FPT), which refers to solvability in time f(k)n, where f is some function (usually exponential) of ...
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Britton Chance is amazing; he has won prizes ranging from an Olympic Gold Medal to the National Medal of Science. In preparation for writing this piece we have been sitting at my desk pouring over the incredible work Brit has done during his scientific career. We have known Brit for over a decade, and have collaborated with him on many exciting projects related to optical imaging and spectrosco...
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This Editorial is brought to you for free and open access by the Tampa Library at Scholar Commons. It has been accepted for inclusion in Genocide Studies and Prevention: An International Journal by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Recommended Citation Logan, Tricia and MacDonald, David B. (2015) "Guest Editors' Introduc...
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BAYESIAN nonparametric models are probabilistic models defined over infinite-dimensional parameter spaces. For Gaussian process models of regression and classification functions, the parameter space consists of a set of continuous functions. For the Dirichlet process mixture models used in density estimation and clustering, the parameter space is dense in the space of probability measures. Baye...
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ژورنال
عنوان ژورنال: Algorithms
سال: 2020
ISSN: 1999-4893
DOI: 10.3390/a13090236