Results 41 to 50 of about 421,329 (326)

Selection of optimal auxiliary soil nutrient variables for Cokriging interpolation. [PDF]

PLoS ONE, 2014
In order to explore the selection of the best auxiliary variables (BAVs) when using the Cokriging method for soil attribute interpolation, this paper investigated the selection of BAVs from terrain parameters, soil trace elements, and soil nutrient ...
Genxin Song, Jing Zhang, Ke Wang
doaj   +1 more source

Artificial bee colony feature selection algorithm combined with machine learning algorithms to predict vertical and lateral distribution of soil organic matter in South Dakota, USA

Carbon Management, 2017
The main purpose of this study, is to evaluate an advanced feature selection technique, artificial bee colony (ABC) algorithm; to reduce the number of auxiliary variables derived from a digital elevation model (DEM) and remotely sensed data (e.g. Landsat
Ruhollah Taghizadeh-Mehrjardi, Ram Neupane, Kunal Sood, Sandeep Kumar   +3 more
doaj   +1 more source

Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research

BMC Medical Research Methodology, 2012
Background Multiple imputation is becoming increasingly popular. Theoretical considerations as well as simulation studies have shown that the inclusion of auxiliary variables is generally of benefit. Methods A simulation study of a linear regression with
Hardt Jochen, Herke Max, Leonhart Rainer
doaj   +1 more source

On Source Coding with Coded Side Information for a Binary Source with Binary Side Information [PDF]

, 2007
The lossless rate region for the coded side information problem is "solved," but its solution is expressed in terms of an auxiliary random variable. As a result, finding the rate region for any fixed example requires an optimization over a family of ...
Effros, Michelle, Gu, WeiHsin, Ho, Tracey, Koetter, Ralf   +3 more
core   +3 more sources

Clustering research on graph regularization nonnegative matrix factorization based on auxiliary variables under orthogonal conditions

AIMS Mathematics
This paper addressed the challenge of image clustering by integrating graph and orthogonality mechanisms into the nonnegative matrix factorization algorithm.
Caiping Wang, Wen Li, Junjian Zhao, Yasong Chen   +3 more
doaj   +1 more source

Effective Auxiliary Variables via Structured Reencoding

, 2023
Extended resolution shows that auxiliary variables are very powerful in theory. However, attempts to exploit this potential in practice have had limited success. One reasonably effective method in this regard is bounded variable addition (BVA), which automatically reencodes formulas by introducing new variables and eliminating clauses, often ...
Haberlandt, Andrew, Green, Harrison, Heule, Marijn J. H.   +2 more
openaire   +4 more sources

Auxiliary variables for deformable models [PDF]

Proceedings of IEEE International Conference on Computer Vision, 2002
We present a mathematical formulation for curve and surface reconstruction algorithms by introduction of auxiliary variables. For deformable models and templates, two step iterative algorithms have been often used where, at each iteration, the model is first locally deformed according to the potential data attraction and then globally smoothed. We show
openaire   +1 more source

Efficient generalized estimators of population mean in the presence of non-response and measurement error

Kuwait Journal of Science
Researchers frequently encounter significant challenges in sampling surveys, particularly related to non-response and measurement errors. These challenges pose substantial obstacles that can undermine the precision and dependability of survey outcomes ...
Sajjad M., Ismail M.
doaj   +1 more source

Row–Column Sampling Design Using Auxiliary Ranking Variables

Journal of Agricultural, Biological and Environmental Statistics, 2022
AbstractIn this paper, we present a new class of row–column sampling design when a sampling region is presented by non-overlapping quadrats of an rp-by-p row–column grid. Quadrats are rank-ordered on a relevant auxiliary variable, first in the rp rows of the grid and then in the so formed p ranked columns.
Omer Ozturk, Olena Kravchuk, Raymond Correll   +2 more
openaire   +2 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source