Results 41 to 50 of about 57,992 (261)

Re-using Auxiliary Variables for MaxSAT Preprocessing [PDF]

2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 2015
Solvers for the maximum satisfiability (MaxSAT) problem -- a well-known optimization variant of Boolean satisfiability (SAT) -- are finding an increasing number of applications. Preprocessing has proven an integral part of the SAT-based approach to efficiently solving various types of real-world problem instances.
Jeremias Berg, Paul Saikko, Matti Järvisalo   +2 more
openaire   +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

Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping

Remote Sensing, 2022
Soil moisture is one of the core hydrological and climate variables that crucially influences water and energy budgets. The spatial resolution of available soil moisture products is generally coarser than 25 km, which limits their hydro-meteorological ...
Zebin Zhao, Rui Jin, Jian Kang, Chunfeng Ma, Weizhen Wang   +4 more
doaj   +1 more source

A note on transformations on auxiliary variable in survey sampling [PDF]

Model Assisted Statistics and Applications, 2011
In this note, we address the doubts of Singh [12] and Gupta and Shabbir [1] on the transformations of auxiliary variables by adding unit free constants. The original contribution by Sisodia and Dwivedi [15] is correct.
Rajesh K. Singh, Manoj Kumar Tiwari
openaire   +2 more sources

Improving RBS estimates - effects of the auxiliary variable, stratification of the crown, and deletion of segments on the precision of estimates

Journal of Forest Science, 2007
Randomized Branch Sampling (RBS) is a multistage sampling procedure using natural branching in order to select samples for the estimation of tree characteristics.
J. Cancino, J. Saborowski
doaj   +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

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension

Entropy, 2018
In this paper, we are interested in Bayesian inverse problems where either the data fidelity term or the prior distribution is Gaussian or driven from a hierarchical Gaussian model.
Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet   +3 more
doaj   +1 more source

The effect of an event-triggered controller on non-strict feedback system based on the single input interval type-2 fuzzy method

Franklin Open, 2023
Non-Strict Feedback (NSF) physical systems are broader than Strict-Feedback (SF) systems. The system state variables depend on their system functions, unlike SF systems that the system variables do not depend on their system function.
Ibrahim Olawale Muritala, Habeeb Bello-Salau, Ahmed T. Salawudeen, Salisu Mohammed   +3 more
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

Integrating endogeneity in survey sampling using instrumental-variable calibration estimator

Heliyon
The endogeneity problem arises when the auxiliary variables correlate to the error terms. In such cases, appropriate instrumental variables ensure efficient estimation.
Muhammad Nadeem Intizar, Muhammad Ahmed Shehzad, Haris Khurram, Soofia Iftikhar, Aamna Khan, Abdul Rauf Kashif   +5 more
doaj   +1 more source