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This strategy is tested using both Monte Carlo simulations and a time series dataset based on supervised classification of remotely sensed data corresponding to land use decisions observed in a Mexican coffee growing region during the period 1984 2006.
To further minimize the drawbacks of the above-mentioned methods, recently developed techniques have been based on supervised classification [4, 14 16] and graph interaction models [17].
For example, land-use change was analysed using GIS software, based on supervised classification of Landsat images (from 1995 and 2005).
The study area was classified into 6 categories based on supervised classification using the maximum likelihood method for PG-Steamer (Pixoneer Geomatics Inc., Tae-jon).
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Our classification based on supervised learning approach only provides suggestions on which cancer subtype that a cell line most closely represents.
Most of the existing tumor classification approaches are based on supervised learning, such as support vector machines or decision trees, which aimed at identifying genetic features to distinguish two or more known tumor (sub- types [ 49, 50].
Structure determination based on supervised learning is an important issue in pattern classification.
Our approach to stance classification of tweets is based on supervised machine learning, where a sample of tweets is first manually annotated and then used to train and evaluate a classifier.
To exploit the information redundancy that exists among the huge number of variables and improve classification accuracy of microarray data, we propose a gene selection method, Recursive Feature Addition (RFA), which is based on supervised learning and similarity measures.
In contrast, our approach is based on supervised machine learning.
Based on supervised trial value, the supervised trial median residue (STMR) in tomatoes was 0.069 mg/kg (Table 2).
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