Results 31 to 40 of about 2,341,333 (275)
Sparse Covers for Sums of Indicators [PDF]
, 2014 For all $n, \epsilon >0$, we show that the set of Poisson Binomial distributions on $n$ variables admits a proper $\epsilon$-cover in total variation distance of size $n^2+n \cdot (1/\epsilon)^{O(\log^2 (1/\epsilon))}$, which can also be computed in ...
Daskalakis, Constantinos +1 more
core +3 more sources
Movement Ecology, 2019 Background Anthropogenic changes in the climate and environment have globally affected ecological processes such that the spatiotemporal occurrence of the main annual cycle events (i.e., breeding, wintering, moulting, and migration) has shifted in ...
Heiko Schmaljohann
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Population structure, historical biogeography and demographic history of the alpine toad Scutiger ningshanensis in the Tsinling Mountains of Central China. [PDF]
PLoS ONE, 2014 Population genetic structure, historical biogeography and historical demography of the alpine toad Scutiger ningshanensis were studied using the combined data mtDNA cytochrome b (cyt b) and the mtDNA cytochrome c oxidase subunit I (COI) as the molecular ...
Hongzhe Meng, Xiaochen Li, Penghai Qiao
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Journal of Men's Health, 2022 Background: This study’s aim was twofold: (i) to compare starters and non-starters on a professional soccer team in terms of variations in training intensity indexes across a season, calculated through total distance, sprint distance, accelerations (Acc),
Hadi Nobari +4 more
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Tailoring Language Generation Models under Total Variation Distance
CoRR, 2023 The standard paradigm of neural language generation adopts maximum likelihood estimation (MLE) as the optimizing method. From a distributional view, MLE in fact minimizes the Kullback-Leibler divergence (KLD) between the distribution of the real data and that of the model. However, this approach forces the model to distribute non-zero (sometimes large)
Haozhe Ji +4 more
openaire +3 more sources
Two Types of Geometric Jensen–Shannon Divergences
EntropyThe geometric Jensen–Shannon divergence (G-JSD) has gained popularity in machine learning and information sciences thanks to its closed-form expression between Gaussian distributions.
Frank Nielsen
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Journal of Inequalities and Applications, 2017 A weighted Bregman-Gradient Projection denoising method, based on the Bregman iterative regularization (BIR) method and Chambolle’s Gradient Projection method (or dual denoising method) is established.
Beilei Tong
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EURASIP Journal on Advances in Signal Processing, 2017 The principle of compressed sensing (CS) can be applied in a cryptosystem by providing the notion of security. In this paper, we study the computational security of a CS-based cryptosystem that encrypts a plaintext with a partial unitary sensing matrix ...
Nam Yul Yu
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Non-Quadratic Distances in Model Assessment
Entropy, 2018 One natural way to measure model adequacy is by using statistical distances as loss functions. A related fundamental question is how to construct loss functions that are scientifically and statistically meaningful.
Marianthi Markatou, Yang Chen
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Biology of Sport, 2023 This study aimed to contextualise and benchmark the physical demands of teams in the FIFA World Cup Qatar 2022. With FIFA’s official approval, all sixty-four games were analysed during the competition ( n = 32 teams) using a multi-camera computerised ...
Paul S. Bradley
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