Results 61 to 70 of about 29,845,221 (313)

Addressing Dependent Data in Constrained Optimization Problems: A WOA-based Algorithm [PDF]

International Journal of Industrial Electronics, Control and Optimization
Optimization algorithms are widely used in various fields to find the best solution to a problem by minimizing or maximizing an objective function, subject to certain constraints.
Asieh Ghanbarpour, Soheil Zaremotlagh, Fahimeh Dabaghi-Zarandi   +2 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Random Forests for dependent data

CoRR, 2020
Random forest (RF) is one of the most popular methods for estimating regression functions. The local nature of the RF algorithm, based on intra-node means and variances, is ideal when errors are i.i.d. For dependent error processes like time series and spatial settings where data in all the nodes will be correlated, operating locally ignores this ...
Arkajyoti Saha, Sumanta Basu, Abhirup Datta   +2 more
openaire   +2 more sources

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

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, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Download statistics GESIS Data Archive

, 2019
General information: The data sets contain information on how often materials of studies available through GESIS: Data Archive for the Social Sciences were downloaded and/or ordered through one of the archive´s plattforms/services between 2004 and 2018.
GESIS - Data Archive for the Social Sciences
core   +1 more source

The Touchard Process for Count Data with Dependent Increments

Mathematics
This paper introduces the Touchard process, a flexible two-parameter stochastic framework for modeling count data that depart from the classical Poisson assumptions.
Moisés Lima, Gladston Da Silva, Regina Da Fonseca, Raul Matsushita   +3 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Related Data for: EZH2 promotes neoplastic transformation through VAV interaction-dependent extranuclear mechanisms

, 2018
This dataset contains RNA-seq data and supplementary data relating to the journal article "EZH2 promotes neoplastic transformation through VAV interaction-dependent extranuclear mechanisms" which was published in Ocogene on 25 Jan ...
Lin, Valerie Chun Ling, Yau, Yin Hoe, Venkatesan, Nandini, Allahverdi, Abdollah, Tan, Kuan Pern, Chung, Hwa Hwa, Wong, Jong Fu, Cukuroglu, Egin, Su, I-Hsin, Göke, Jonathan, Nordenskiold, Lars, Madhusudhan, M.S., Shochat, Susana Geifman   +12 more
core   +1 more source

Uniform convergence of estimator for nonparametric regression with dependent data

Journal of Inequalities and Applications, 2016
In this paper, the authors investigate the internal estimator of nonparametric regression with dependent data such as α-mixing. Under suitable conditions such as the arithmetically α-mixing and E | Y 1 | s < ∞ $E|Y_{1}|^{s} 2 $s>2$ ), the convergence ...
Xiaoqin Li, Wenzhi Yang, Shuhe Hu
doaj   +1 more source

Dependency Networks for Relational Data

Fourth IEEE International Conference on Data Mining (ICDM'04), 2005
Instance independence is a critical assumption of traditional machine learning methods contradicted by many relational datasets. For example, in scientific literature datasets, there are dependencies among the references of a paper. Recent work on graphical models for relational data has demonstrated significant performance gains for models that ...
Jennifer Neville, David D. Jensen
openaire   +2 more sources