Results 31 to 40 of about 4,433,966 (292)
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models
CoRR, 2019 Variable importance is central to scientific studies, including the social sciences and causal inference, healthcare, and other domains. However, current notions of variable importance are often tied to a specific predictive model. This is problematic: what if there were multiple well-performing predictive models, and a specific variable is important ...
Jiayun Dong, Cynthia Rudin
openaire +2 more sources
Remote Sensing, 2012 An understanding of the distribution and extent of marine habitats is essential for the implementation of ecosystem-based management strategies. Historically this had been difficult in marine environments until the advancement of acoustic sensors.
Jacquomo Monk +2 more
doaj +1 more source
Retrieval of Leaf Area Index Using Sentinel-2 Imagery in a Mixed Mediterranean Forest Area
ISPRS International Journal of Geo-Information, 2020 Leaf area index (LAI) is a crucial biophysical indicator for assessing and monitoring the structure and functions of forest ecosystems. Improvements in remote sensing instrumental characteristics and the availability of more efficient statistical ...
Irene Chrysafis +3 more
doaj +1 more source
Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms
Turkish Journal of Agriculture: Food Science and Technology, 2022 The objective of this study was to compare predictive performances of four machine learning (ML) models: Support Vector Machines with Radial Basis Function Kernel (SVMR), Classification and Regression Trees (CART), Random Forest (RF) and Model Average ...
Cihan Çakmakçı
doaj +1 more source
Remote Sensing, 2017 Sentinel-2 images are expected to improve global crop monitoring even in challenging tropical small agricultural systems that are characterized by high intra- and inter-field spatial variability and where satellite observations are disturbed by the ...
Valentine Lebourgeois +5 more
doaj +1 more source
The demand for money in developing countries: Assessing the role of financial innovation [PDF]
, 1991 Traditional specifications of money demand have been commonly plagU4:!d by persistent overprediction, implausible parameter estimates, and highly autocorrelated errors.
Baudry de Vaux, Marie +20 more
core +1 more source
Frontiers in Forests and Global Change, 2019 Understanding the importance of climate in determining species distribution and how it might change as a function of spatial grain size is a vital issue for species distribution modeling (SDM), yet it is often not accounted for in models and has not been
Boipelo Tshwene-Mauchaza +2 more
doaj +1 more source
Variable selection with Random Forests for missing data [PDF]
, 2013 Variable selection has been suggested for Random Forests to improve their efficiency of data prediction and interpretation. However, its basic element, i.e.
Hapfelmeier, Alexander, Ulm, Kurt
core +1 more source
PUBO$$_i$$: A Tunable Benchmark with Variable Importance
, 2022 In this work, we present the benchmark generator PUBOi, Polynomial Unconstrained Binary Optimization, that combines subproblems to create instances of pseudo-boolean optimization problems. Any mono-objective pseudoboolean functions including existing classical optimization problems can be expressed with Walsh functions. The benchmark generator can tune
Tari, Sara +2 more
openaire +2 more sources
Importance of understanding variable and transient energy demand in large multi-product industrial plants for process integration [PDF]
, 2011 There have been some news releases claiming that Professor Henle in Germany has found the chemical identity of UMF, and that in future chemical analysis will be used instead of assays of antibacterial activity to indicate the level of UMF in manuka honey.
Atkins, Martin John +3 more
core +2 more sources