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Semiparametric regression with localized Bregman divergence
Scandinavian Journal of StatisticsAbstractThis paper focuses on semiparametric regression based on minimizing the localized Bregman divergence. A local parametric model derived from the framework of the generalized linear model with multiple covariates and a linear predictor is utilized. The parameter vector included in the model is estimated under localization. The asymptotic behavior
Hiroki Kosugi +2 more
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Bregman Divergence Clustering: A Convex Approach
2013Due to its wide application in various fields, clustering, as a fundamental unsupervised learning problem, has been intensively investigated over the past few decades. Unfortunately, standard clustering formulations are known to be computationally intractable.
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Independent Component Analysis Using Bregman Divergences
2010We review the technique of independent component analysis (ICA) and Stone's criterion for performing an independent component analysis. We then review Bregman divergences and show how they may be applied to Stone's criterion providing a very simple algorithm for performing ICA. We illustrate our method on two very simple data sets.
Xi Wang, Colin Fyfe
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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Deep Bregman Divergence for Self-Supervised Representations Learning
SSRN Electronic Journal, 2022Mina Rezaei +3 more
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