Results 31 to 40 of about 17,830,382 (307)
Induction as model selection [PDF]
Proceedings of the National Academy of Sciences, 2008 Overview of hierarchical Bayesian approach to learning structural form proposed by Kemp and Tenenbaum (3), using examples of similarities among a set of animals. (A) The data at the bottom, in the form of a feature vector for each animal, can potentially be produced by alternative forms (ring, partition, tree, order, hierarchy) that can take on many ...
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A Large-Scale Empirical Study of Aligned Time Series Forecasting
IEEE AccessAutomated Machine Learning (AutoML) tools for time series forecasting represent a frontier in both academic and industrial research, addressing the need for efficient, accurate predictions in various domains.
Polina Pilyugina +6 more
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Applied Sciences, 2019 The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs).
Nicola Baldo +2 more
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Frontiers in Psychology, 2020 The standard item response theory (IRT) model assumption of a single homogenous population may be violated in real data. Mixture extensions of IRT models have been proposed to account for latent heterogeneous populations, but these models are not ...
Sedat Sen, Allan S. Cohen
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Optimal Neighborhood Selection for AR-ARCH Random Fields with Application to Mortality
Stats, 2021 This article proposes an optimal and robust methodology for model selection. The model of interest is a parsimonious alternative framework for modeling the stochastic dynamics of mortality improvement rates introduced recently in the literature.
Paul Doukhan +2 more
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Selecting Models with Judgment [PDF]
SSRN Electronic Journal, 2018 A statistical decision rule incorporating judgment does not perform worse than a judgmental decision with a given probability. Under model misspecification, this probability is unknown. The best model is the least misspecified, as it is the one whose probability of underperforming the judgmental decision is closest to the chosen probability.
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Models for chronology selection [PDF]
Physical Review D, 1998 20 pages ...
Cassidy, M. J., Hawking, S. W.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A guidance of model selection for genomic prediction based on linear mixed models for complex traits
Frontiers in Genetics, 2022 Brain imaging outcomes are important for Alzheimer’s disease (AD) detection, and their prediction based on both genetic and demographic risk factors can facilitate the ongoing prevention and treatment of AD.
Jiefang Duan +4 more
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Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source