Results 121 to 130 of about 6,826 (184)
Analysis of symbolic sequences using the Jensen-Shannon divergence
We study statistical properties of the Jensen-Shannon divergence D, which quantifies the difference between probability distributions, and which has been widely applied to analyses of symbolic sequences.
Pedro Bernaola-Galván +5 more
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On the Approximation of the Integral Mean Divergence and f-Divergence via Mean Results
Results involving the approximation of the difference between two integral means are utilised to obtain bounds on the Integral Mean Divergence and the f−divergence due to Csiszár. The current work does not restrict the functions involved to be convex. If
Cerone, Pietro, Dragomir, Sever S
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Constraining variational inference with geometric Jensen-Shannon divergence [PDF]
We examine the problem of controlling divergences for latent space regularisation in variational autoencoders. Specifically, when aiming to reconstruct example x 2 Rm via latent space z 2 Rn (n = m), while balancing this against the need for ...
Lio P., Simidjievski N., Deasy J.
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On the Equivalence Between Jensen-Shannon Divergence and Michelson Contrast
This paper focuses on the link between a visible linear and local distortion in a pictorial scene and its cost in terms of information theory quantities.
Domenico Vitulano +2 more
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Framework for the Evaluation of Nap-Compatible Classroom Chairs
Recent policy initiatives, such as the Ministry of Education of China’s guidelines on student sleep management, together with international empirical studies on daytime rest, highlight that appropriate opportunities for midday rest can support students ...
Wangyu Xu, Yushu Chen
doaj +1 more source
Generally in the social sciences, a result is informally deemed ‘surprising’ if its associated p-value is sufficiently small. This implicit interpretation, however, is both conceptually and mathematically inappropriate, and such misuse of the p-value can
Emil Niclas Meyer-Hansen
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The continuous G-DINA model and the Jensen-Shannon divergence
Interest in diagnostic assessment has grown rapidly in recent years, as the public has increasingly looked to assessments to enhance educational outcomes.
de la Torre, J, Minchen, ND
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. This work constitutes a theoretical study of the edge-detection method by means of the Jensen-Shannon divergence, as proposed by the authors. The overall aim is to establish formally the suitability of the procedure of edge detection in digital images,
Juan Francisco G ´omez-lopera
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Extending Jensen Shannon Divergence to Compare Multiple Corpora
25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, 7 - 8 December 2017Investigating public discourse on social media platforms has proven a viable way to reflect the impacts of political issues.
Lu, Jinghui +2 more
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