Results 31 to 40 of about 1,393,828 (262)

PUBO$$_i$$: A Tunable Benchmark with Variable Importance

open access: yes, 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

Effectiveness of Variable Selection Methods for Machine Learning and Classical Statistical Models

open access: yesQuantitative Methods in Economics
In line with new international financial supervision directives (IFRS9), banks should look at a new set of analytical tools, such as machine learning. The introduction of these methods into banking practice requires reformulation of business goals, both
Urszula Grzybowska, Marek Karwański
doaj   +1 more source

Climatic Drivers of Plant Species Distributions Across Spatial Grains in Southern Africa Tropical Forests

open access: yesFrontiers 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

Physical activity - an important preanalytical variable [PDF]

open access: yesBiochemia Medica, 2014
The concentration of several biochemical and hematological biomarkers is strongly influenced by a number of preanalytical variables. Several lines of evidence attest that short, middle, and long-term exercise, as well as the relative intensity of physical effort (from mild to strenuous), may influence a broad array of laboratory variables.
Sanchis Gomar F, LIPPI, Giuseppe
openaire   +3 more sources

Non-Intrusive Identification of Loads by Random Forest and Fireworks Optimization

open access: yesIEEE Access, 2020
The control of expenses related to electricity has been showing significant growth, especially in residential environments. Monitoring of electrical loads that are turning on and off from home are often performed using smart plugs, providing to the ...
Paulo Ricardo Zambelli Taveira   +2 more
doaj   +1 more source

Learning variable importance to guide recombination [PDF]

open access: yes2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
In evolutionary multi-objective optimization, variation operators are crucially important to produce improving solutions, hence leading the search towards the most promising regions of the solution space. In this paper, we propose to use a machine learning modeling technique, namely random forest, in order to estimate, at each iteration in the course ...
Sagawa, Miyako   +6 more
openaire   +2 more sources

Impacts of Soil Properties, Topography, and Environmental Features on Soil Water Holding Capacities (SWHCs) and Their Interrelationships

open access: yesLand, 2021
Soil water holding capacities (SWHCs) are among the most important factors for understanding the water cycle in forested catchments because they control available plant water that supports evapotranspiration.
Hyunje Yang   +4 more
doaj   +1 more source

A Novel Traffic Speed Prediction for Road Weaving Sections: Incorporating Traffic Flow Characteristics

open access: yesPromet (Zagreb)
Weaving sections on roads are crucial areas with high concentrations of mandatory lane changes, which can increase the likelihood of traffic accidents.
Yuming ZHOU   +4 more
doaj   +1 more source

Retrieval and Mapping of Soil Organic Carbon Using Sentinel-2A Spectral Images from Bare Cropland in Autumn

open access: yesRemote Sensing, 2021
Soil is the largest carbon reservoir on the terrestrial surface. Soil organic carbon (SOC) not only regulates global climate change, but also indicates soil fertility level in croplands.
Ke Wang   +4 more
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu   +8 more
wiley   +1 more source

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