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The popular multi-label classifiers multi-label support vector machine (MLSVM), multi-label K-nearest neighbor (MLKNN) and back-propagation for multi-label learning (BP-MLL) were applied to predict the types of SFRB based on two data sets (one from Scotland and one from Baden).
The performance of the models based on three data sets is given in Additional data file 2. Due to the slightly, but not significantly, better performance for each outcome of one model based on three data sets compared to models based on two data sets, we report the results for the best model combining two data sets.
The analysis is based on two data collection campaigns from the Land Use Statistics with a time difference of 12 years.
The present work examines the problems encountered during the design, construction and testing of a fully computer-controlled system for automatic calibration of ion-selective electrodes (ISEs), based on two data acquisition boards, a home-made fast multifunction potentiostat, two peristaltic pumps and an injection valve.
The list is based on two data sets from the BLS: annual average salary and the projected hiring outlook by 2022.
Observations are based on two data processing methods for synthetic aperture radar acquisitions: synthetic aperture radar interferometry (InSAR) and permanent scatterer InSAR (PS-InSAR) monitoring.
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Each user u generates a GFDM signal based on two successive data vectors (vec {d}^{, u)}_{i}), where elements corresponding to non-allocated subcarriers are set to zero.
In the study, participants were asked to predict students' standardized test scores based on nine data points.
This enabled a study of the spatial aspects of transport based on six data sets of carbonate content that were collected during the 1997 2002 period.
This analysis is based on four data sources including: 1. Daily situation (SIT-209) reports from The National Fire & Aviation Management Web Applications site (https://fam.nwcg.gov/fam-web/) 2. Fire perimeter data from The Geospatial Multi-Agency Coordination (GeoMAC) Wildland Fire database.
All revised estimates are based on three data sources: Agriculture Marketing Service (AMS) verification data performed by AMS auditors, resubmitted data to correct inaccuracies exposed by NASS during data analysis and/or discrepancy evaluation, and resubmitted data inaccuracies discovered by the plant during an internal review of program specifications to comply with the mandatory reporting rules.
More suggestions(18)
based on two measures
based on two figures
based on two data processing
based on two data collection
based on two evidence
based on two adults
based on two criteria
based on two ideas
based on two propositions
based on two arguments
based on two axioms
based on two pieces
based on two surveys
based on two assumptions
based on two women
based on two designs
based on two sets
based on two grounds
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