Results 31 to 40 of about 24,840,318 (307)
Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves
CoRR, 2023 Revised and simplified notation and improved exposition.
Ernst Althaus +3 more
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Compositional data analysis and zeros in micro data [PDF]
Applied Economics, 2000 The application of compositional data analysis methods in economics has some attraction. In particular, this methodology ensures that the stochastic component of budget share models will satisfy the restriction of shares to the unit simplex. The methodology relies upon the use of "log-ratios" in the statistical analysis.
Fry, Jane M +2 more
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SMOTE-CD: SMOTE for compositional data.
PLoS ONE, 2023 Compositional data are a special kind of data, represented as a proportion carrying relative information. Although this type of data is widely spread, no solution exists to deal with the cases where the classes are not well balanced.
Teo Nguyen +3 more
doaj +1 more source
Exploratory data analysis for interval compositional data [PDF]
Advances in Data Analysis and Classification, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karel Hron, Paula Brito, Peter Filzmoser
openaire +3 more sources
Compositional data techniques for the analysis of the container traffic share in a multi-port region [PDF]
, 2019 The statistical techniques based on compositional data are applied to investigate the evolution of the traffic share of the container throughput in a multi-port system.
Ortego Martínez, María Isabel +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Compositional Generalization for Data-to-Text Generation
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 Data-to-text generation involves transforming structured data, often represented as predicate-argument tuples, into coherent textual descriptions. Despite recent advances, systems still struggle when confronted with unseen combinations of predicates, producing unfaithful descriptions (e.g. hallucinations or omissions).
Xu, X., Titov, I., Lapata, M.
openaire +6 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
The Maximum Entropy Principle For Compositional Data
BMC Bioinformatics, 2022 Abstract In this work, we provide a general method for inferring the stochastic behavior of compositional systems. Our approach is guided by the principle of maximum entropy, a data-driven modeling technique. In particular, we show that our method can accurately capture stochastic, inter-species relationships with minimal model ...
Corey Weistuch +3 more
openaire +3 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source