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pro vyhledávání: '"Jerdee, Maximilian"'
Mutual information is commonly used as a measure of similarity between competing labelings of a given set of objects, for example to quantify performance in classification and community detection tasks. As argued recently, however, the mutual informa
Externí odkaz:
http://arxiv.org/abs/2405.05393
Autor:
Jerdee, Maximilian, Newman, M. E. J.
Patterns of wins and losses in pairwise contests, such as occur in sports and games, consumer research and paired comparison studies, and human and animal social hierarchies, are commonly analyzed using probabilistic models that allow one to quantify
Externí odkaz:
http://arxiv.org/abs/2312.04711
Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that results returned by the normalized mutual information are biased for two rea
Externí odkaz:
http://arxiv.org/abs/2307.01282
We consider the superconformal index of three-dimensional ${\cal N}=2$ supersymmetric field theories computed via localization on $S^1\times S^2$. We systematically develop an expansion where the ratio of the radius of $S^1$ to the radius of $S^2$ is
Externí odkaz:
http://arxiv.org/abs/2210.12065
Publikováno v:
Proc. R. Soc. London A 480, 20230470 (2024)
The number of non-negative integer matrices with given row and column sums appears in a variety of problems in mathematics and statistics but no closed-form expression for it is known, so we rely on approximations of various kinds. Here we describe a
Externí odkaz:
http://arxiv.org/abs/2209.14869
Autor:
Melchior, Peter, Moolekamp, Fred, Jerdee, Maximilian, Armstrong, Robert, Sun, Ai-Lei, Bosch, James, Lupton, Robert
We present the source separation framework SCARLET for multi-band images, which is based on a generalization of the Non-negative Matrix Factorization to alternative and several simultaneous constraints. Our approach describes the observed scene as a
Externí odkaz:
http://arxiv.org/abs/1802.10157
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