Results 21 to 30 of about 129,468 (185)
A possible combined appraisal pattern: predicting the prognosis of patients after esophagectomy
World Journal of Surgical Oncology, 2023 Objective To investigate the predictive merit of combined preoperative nutritional condition and systemic inflammation on the prognosis of patients receiving esophagectomy, with the assessment of model construction to extract a multidisciplinary phantom ...
LiangLiang Chen +4 more
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Computationally and Statistically Efficient Truncated Regression
, 2020 Accepted for presentation at the Conference on Learning Theory (COLT ...
Daskalakis, Constantinos +3 more
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A Segmentation-Based CFAR Detection Algorithm Using Truncated Statistics [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2016 Manuscript. (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in
Ding, Tao +2 more
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Memorized Variational Continual Learning for Dirichlet Process Mixtures
IEEE Access, 2019 Bayesian nonparametric models are theoretically suitable for streaming data due to their ability to adapt model complexity with the observed data. However, very limited work has addressed posterior inference in a streaming fashion, and most of the ...
Yang Yang, Bo Chen, Hongwei Liu
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Axioms, 2022 A new class of distribution called the Fréchet binomial (FB) distribution is proposed. The new suggested model is very flexible because its probability density function can be unimodal, decreasing and skewed to the right.
Salem A. Alyami +5 more
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Cumulant expansion for studying damped quantum solitons [PDF]
, 1999 The quantum statistics of damped optical solitons is studied using cumulant-expansion techniques. The effect of absorption is described in terms of ordinary Markovian relaxation theory, by coupling the optical field to a continuum of reservoir modes ...
A. Hasegawa +82 more
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Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data [PDF]
Journal of Sciences, Islamic Republic of Iran, 2014 Kernel density estimators are the basic tools for density estimation in non-parametric statistics. The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in which the bandwidth is varied depending on the ...
V. Fakoor
doaj
A moment-matching Ferguson and Klass algorithm [PDF]
, 2016 Completely random measures (CRM) represent the key building block of a wide variety of popular stochastic models and play a pivotal role in modern Bayesian Nonparametrics.
Arbel, Julyan, Prünster, Igor
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Breaking the Kolmogorov Barrier in Model Reduction of Fluid Flows
Fluids, 2020 Turbulence modeling has been always a challenge, given the degree of underlying spatial and temporal complexity. In this paper, we propose the use of a partitioned reduced order modeling (ROM) approach for efficient and effective approximation of ...
Shady E. Ahmed, Omer San
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Comparative Study of Truncating and Statistical Stemming Algorithms [PDF]
International Journal of Advanced Computer Science and Applications, 2020 Search and indexing systems bear a significant quality called word stemming, is lump of content excavating requests, IR frameworks and natural language handling frameworks. The fundamental topic in the search and indexing through time is to upgrade infer via robotized diminishing and fussing of the words into word roots.
Sanaullah Memon +5 more
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