Results 71 to 80 of about 3,323 (160)
On the Universality of the Logistic Loss Function
, 2018 A loss function measures the discrepancy between the true values (observations) and their estimated fits, for a given instance of data. A loss function is said to be proper (unbiased, Fisher consistent) if the fits are defined over a unit simplex, and ...
Painsky, Amichai, Wornell, Gregory W.
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Upper and lower bounds for the Bregman divergence [PDF]
Journal of Inequalities and Applications, 2019 In this paper we study upper and lower bounds on the Bregman divergence $Δ_{\mathcal{F}}^ξ(y,x):=\mathcal{F}(y)-\mathcal{F}(x)-\langle ξ, y-x\rangle $ for some convex functional $\mathcal{F}$ on a normed space $\mathcal{X}$, with subgradient $ξ\in\partial\mathcal{F}(x)$.
openaire +6 more sources
Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Towards explaining the speed of $k$-means [PDF]
, 2011 The $k$-means method is a popular algorithm for clustering, known for its speed in practice. This stands in contrast to its exponential worst-case running-time. To explain the speed of the $k$-means method, a smoothed analysis has been conducted.
Manthey, Bodo
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Multivariate GARCH estimation via a Bregman-proximal trust-region method
, 2011 The estimation of multivariate GARCH time series models is a difficult task mainly due to the significant overparameterization exhibited by the problem and usually referred to as the "curse of dimensionality".
Chrétien, Stéphane, Ortega, Juan-Pablo
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Shifting baselines increase the risk of misinterpreting biodiversity trends
Ecography, Volume 2026, Issue 4, April 2026.Ecological studies quantifying the impact of land‐use change on biodiversity may be sensitive to the choice of reference points – or baselines – particularly when sampling across human land‐use gradients and other space‐for‐time comparisons. Much depends on whether the chosen baseline has already undergone shifts in species composition because of ...
Ariane Dellavalle +13 more
wiley +1 more source
Reverse Hierarchical Processing of Speech in Talker Identification
European Journal of Neuroscience, Volume 63, Issue 8, April 2026.Beyond replicating the well‐established language familiarity effect—better talker identification in the native (English) versus unfamiliar (Mandarin) language—we incorporated drift‐diffusion model, error pattern analysis, and pupillometry to understand the time course dynamics of talker learning.
Ja Young Choi +3 more
wiley +1 more source
Ibis, Volume 168, Issue 2, Page 431-450, April 2026.Based on distinctive morphological and vocal characters we describe a new species of jewel‐babbler (genus Ptilorrhoa) from the forested karst of the Southern Fold Mountains in Papua New Guinea. The description is based on camera trap data and is presented in accordance with ICZN Declaration 45.
Iain A. Woxvold +5 more
wiley +1 more source
Divergence Network: Graphical calculation method of divergence functions
, 2018 In this paper, we introduce directed networks called `divergence network' in order to perform graphical calculation of divergence functions. By using the divergence networks, we can easily understand the geometric meaning of calculation results and grasp
Nishiyama, Tomohiro
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Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences [PDF]
, 2014 This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related areas.
Harandi, Mehrtash +3 more
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