Results 81 to 90 of about 1,354,633 (198)

Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover

Remote Sensing, 2018
Fractional vegetation cover (FVC) is an essential parameter for characterizing the land surface vegetation conditions and plays an important role in earth surface process simulations and global change studies.
Bing Wang, Kun Jia, Shunlin Liang, Xianhong Xie, Xiangqin Wei, Xiang Zhao, Yunjun Yao, Xiaotong Zhang   +7 more
doaj   +1 more source

Evolutionary shift detection with ensemble variable selection

BMC Ecology and Evolution
Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the evolutionary history of phenotypes. The detection performances of different methods are influenced by many
Wensha Zhang, Toby Kenney, Lam Si Tung Ho   +2 more
doaj   +1 more source

Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using Machine Learning, Geostatistics, and Their Hybrid Methods

Geosciences, 2019
Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this study, we applied random forests (RFs), hybrid methods of RF and geostatistics,
Jin Li, Justy Siwabessy, Zhi Huang, Scott Nichol   +3 more
doaj   +1 more source

Instrumental Variable Method for Regularized Estimation in Generalized Linear Measurement Error Models

Econometrics
Regularized regression methods have attracted much attention in the literature, mainly due to its application in high-dimensional variable selection problems.
Lin Xue, Liqun Wang
doaj   +1 more source

Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data

Journal of Statistical Software, 2019
In this paper we introduce fuzzy forests, a novel machine learning algorithm for ranking the importance of features in high-dimensional classification and regression problems. Fuzzy forests is specifically designed to provide relatively unbiased rankings
Daniel Conn, Tuck Ngun, Gang Li, Christina M. Ramirez   +3 more
doaj   +1 more source

Selection of Subsets of Regression Variables [PDF]

Journal of the Royal Statistical Society. Series A (General), 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Knot selection by boosting techniques [PDF]

, 2006
A novel concept for estimating smooth functions by selection techniques based on boosting is developed. It is suggested to put radial basis functions with different spreads at each knot and to do selection and estimation simultaneously by a componentwise
Gerhard Tutz, Leitenstorfer, Florian, Tutz, Gerhard, Florian Leitenstorfer   +3 more
core   +1 more source

Covariate Selection for RNA-Seq Differential Expression Analysis with Hidden Factor Adjustment

Mathematics
In RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest.
Farzana Noorzahan, Hyeongseon Jeon, Yet Nguyen   +2 more
doaj   +1 more source

Exact and heuristic algorithms for variable selection: Extended Leaps and Bounds [PDF]

An implementation of enhanced versions of the classical Leaps and Bounds algorithm for variable selection is provided. Features of this implementation include: (i) The availability of general routines capable of handling many different statistical ...
A. Pedro Duarte Silva
core  

Bayesian variable selection in modelling geographical heterogeneity in malaria transmission from sparse data : an application to Nouna Health and Demographic Surveillance System (HDSS) data, Burkina Faso [PDF]

, 2015
Quantification of malaria heterogeneity is very challenging, partly because of the underlying characteristics of mosquitoes and also because malaria is an environmentally driven disease.
Diboulo, Eric, Dimitrios A Karagiannis Voules, Voules, Dimitrios A. Karagiannis, Yé, Yazoume, Sié, Ali, Diallo A Diadier, Diadier, Diallo A., Ali Sié, Vounatsou, Penelope, Yazoume Yé, Penelope Vounatsou, Eric Diboulo   +11 more
core   +1 more source