Results 41 to 50 of about 96,202 (258)

Robust Estimation and Filtering Methods for Ordinal Label Noise [PDF]

Jisuanji kexue
Large-scale labeled datasets inevitably contain label noise,which limits the generalization performance of the model to some extent.The labels of ordinal regression datasets are discrete values,but there exist ordinal relationships between different ...
JIANG Gaoxia, WANG Fei, XU Hang, WANG Wenjian
doaj   +1 more source

Implementing Analysis of Ordinal Regression Model on Student’s Feedback Response

Cihan University-Erbil Journal of Humanities and Social Sciences, 2021
Instruction is a multidimensional procedure including a quantity of features, e.g., tutor qualities, that occasionally are hard to assess. In certain points, education efficiency, that is a part of instructing, is affected by a combination of teacher ...
Dler H. Kadir, Ameera W. Omer
doaj   +1 more source

Sparse Ordinal Logistic Regression and Its Application to Brain Decoding

Frontiers in Neuroinformatics, 2018
Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity.
Emi Satake, Kei Majima, Shuntaro C. Aoki, Yukiyasu Kamitani, Yukiyasu Kamitani   +4 more
doaj   +1 more source

Ordinal Regression Based Subpixel Shift Estimation for Video Super-Resolution

EURASIP Journal on Advances in Signal Processing, 2007
We present a supervised learning-based approach for subpixel motion estimation which is then used to perform video super-resolution. The novelty of this work is the formulation of the problem of subpixel motion estimation in a ranking framework.
Nemanja Petrovic, Thomas S. Huang, Shyamsundar Rajaram, Mithun Das Gupta   +3 more
doaj   +2 more sources

mvord: An R Package for Fitting Multivariate Ordinal Regression Models

Journal of Statistical Software, 2020
The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link.
Rainer Hirk, Kurt Hornik, Laura Vana
doaj   +1 more source

A constrained regression model for an ordinal response with ordinal predictors [PDF]

Statistics and Computing, 2018
A regression model is proposed for the analysis of an ordinal response variable depending on a set of multiple covariates containing ordinal and potentially other variables. The proportional odds model (McCullagh (1980)) is used for the ordinal response, and constrained maximum likelihood estimation is used to account for the ordinality of covariates ...
Espinosa, Javier, Hennig, Christian
openaire   +5 more sources

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Determining the factors affecting the happiness levels of divorced individuals by ordered logistics regression analysis

MANAS: Journal of Engineering, 2022
In cases where the dependent variable is categorical and ordinal, the Ordinal Logistic Regression Model is used for model estimation. In order to predict the Ordinal Logistic Regression Model, it must provide the parallel lines assumption.
Burak Uyar, Cevdet Büyüksu
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Feature Relevance Bounds for Ordinal Regression [PDF]

CoRR, 2019
The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model accuracy, the interpretation of these models itself is of high relevance, and existing approaches therefore enforce e.g. model sparsity.
Pfannschmidt, Lukas, Jakob, Jonathan, Biehl, Michael, Tino, Peter, Hammer, Barbara, Verleysen, Michel   +5 more
openaire   +4 more sources