Examples of 'supervised classification' in a sentence
Meaning of "supervised classification"
supervised classification - a type of machine learning technique where the model is trained on labeled data with guidance from a supervisor
How to use "supervised classification" in a sentence
Basic
Advanced
supervised classification
Run supervised classification without labelled data.
Bayesian networks for supervised classification.
A preferred supervised classification method is a recursive partitioning process.
Classification techniques like unsupervised and supervised classification.
Supervised classification method that is based on decision trees.
An important algorithm for supervised classification.
Supervised classification spectral classes.
Section of the supervised classification.
Supervised classification entails recourse to mathematical tools specific to decision theory.
This is known as supervised classification.
Supervised classification fails frequently the identification of unimodal land cover classes.
The method is based on digital processing and supervised classification.
We study the supervised classification problem for large dimension data.
Ground truth is important in the initial supervised classification of an image.
The predictor is a supervised classification algorithm that learns the smart environment inhabitant behavior patterns.
See also
The quantification of the areas was taken from the supervised classification.
The supervised classification methods developed during this PhD thesis are essentially based on Markovian models.
Constraints of supervised classification.
Supervised classification techniques Unsupervised classification techniques Supervised classification makes use of training samples.
The interpretation of the images was done using supervised classification.
Supervised classification maps classification based on a simplified nomenclatures in 8.
You can classify your data using unsupervised or supervised classification techniques.
Supervised classification was used to classify the 10 terrestrial land cover types.
This thesis presents the development of a new supervised classification method based in sparse graphs.
A supervised classification of the satellite images generated a mask of ice-free areas.
Stable clusters of comorbidities were identified using the supervised classification models on the principal components.
The supervised classification method presupposes prior knowledge of the study zone and the " ground truth.
Among the landform classification methods highlight the supervised classification by use of reference geomorphometric signatures.
Abstract, Supervised classification problems requires labelled examples, and labelling step can be costly in practice.
The layer extraction and creation methods include supervised classification and interferometric coherence manipulation.
We focused on the nonparametric fonctional regression model, including supervised classification.
K-Nearest Neighbors is a supervised classification algorithm, while k-means clustering is an unsupervised clustering algorithm.
In the last chapter, we consider the problem of supervised classification of microarray data.
Supervised classification - random forests and support vector machine ( SVM ).
The DIVOP method therefore can not be used for supervised classification to explain a target variable.
The supervised classification of Machine Learning, how to automate it?
To overcome these limitations, a multi-source statistical supervised classification approach was undertaken.
A supervised classification method, SVM ( Support Vector Machines ) is used to classify the faults.
Abstract, Deep neural networks have shown dramatic improvements in a lot of supervised classification tasks.
In a first step, the supervised classification method for the FDD has been considered.
Geoprocessing was supported by these techniques, geooreferencing, mosaicing, supervised classification ( maxver ) and vectorization.
Supervised classification based on discriminant analysis ( Statistica 7.0 ) was used.
So, that is supervised classification.
In computer science, learning vector quantization ( LVQ ), is a prototype-based supervised classification algorithm.
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