Examples of 'classification algorithm' in a sentence
Meaning of "classification algorithm"
classification algorithm - This phrase refers to a set of rules or processes used in machine learning and data mining to categorize data into different classes or categories. Classification algorithms are commonly used in various fields such as pattern recognition, fraud detection, and document classification
How to use "classification algorithm" in a sentence
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classification algorithm
So this classification algorithm requires training data.
These parameters may be used in a classification algorithm.
An automatic classification algorithm is preferably used.
Our intention is to optimize our classification algorithm.
The classification algorithm is then generated based on the learning algorithm.
A brief summary of the classification algorithm is provided next.
The reduction dimension method is adapted to the classification algorithm.
The classification algorithm can then be used to determine ovarian cancer status.
Bayesian classifiers are a simple but highly effective classification algorithm.
A classification algorithm based on analogical proportions has been modified in order to impute missing values.
These clusters are used to train a gradient boosting classification algorithm.
The classification algorithm generates an indicator score that indicates ovarian cancer status.
Processor which uses said vehicle identification parameters in a classification algorithm.
The proposed method used random forest as classification algorithm and relieff for feature selection.
A confusion matrix is a technique for summarizing the performance of a classification algorithm.
See also
classification according
classification accuracy
classification algorithms
classification and labelling
classification accuracy
classification algorithms
classification and labelling
The predictor is a supervised classification algorithm that learns the smart environment inhabitant behavior patterns.
The process involves developing an algorithm that can generate the classification algorithm.
Logistic Regression is actually a classification algorithm that we apply to settings where the.
The processing device may comprise a computer that executes a prediction and classification algorithm.
Building a classification algorithm with IDA.
Secondly, these parameters are used in a classification algorithm.
This simple classification algorithm is based on the Bayes Theorem.
The nature of the model depends on the classification algorithm being used.
Finally, a classification algorithm is applied to the characteristics.
According to this definition, we propose a hierarchical classification algorithm.
The classification algorithm takes place in two stages,.
K-nearest neighbor is also a classification algorithm.
Training a classification algorithm based on features of known lymphocytes and lymphocyte combinations ;.
K-means clustering is an unsupervised classification algorithm.
FIG . 2 illustrates an exemplary classification algorithm according to one embodiment of the invention.
Linear regression is a regression algorithm, while logistic regression is a classification algorithm.
Algorithm 2 is a classification algorithm.
For example, you can build a classifier using a support vector classification algorithm.
Figure 4 shows a diagram of the classification algorithm used to characterize the biomarkers.
Some input selection techniques are algorithm-independent, and may be used with any classification algorithm.
Text Analytics uses a machine learning classification algorithm to generate a sentiment score between 0 and 1.
This paper addresses this problem by proposing a new approach called Sparse Fingerprint Classification Algorithm ( SFCA ).
TROPES is provided a multi-perspectives instance classification algorithm which takes advantage of the model originalities.
The classification algorithm makes a majority vote from 100 individual classifiers.
This stage is carried out by means of a usual classification algorithm referred to as k-means.
The classification algorithm proposed includes a calculation of distance called " structural " ( comparison of trees and graphs ).
Classification was conducted using random forest (RF) classification algorithm.
Presently, a neural cloud 30 classification algorithm is used as support vector machine.
In computer science, learning vector quantization ( LVQ ), is a prototype-based supervised classification algorithm.
The general tachycardia classification algorithm is illustrated on FIG . 11.
Support Vector Machine ( SVM ) is a supervised binary classification algorithm.
Thus, by using a classical classification algorithm ( SVM ), MEs are distinguished from other facial movements.
In a preferred embodiment, top-level classifier 602 implements a neuron-based classification algorithm.
Track Classification Algorithm To provide means for classifying tracks, the track classification algorithm 104 is provided.
K-Nearest-Neighbors is a well-known classification algorithm within the Machine Learning community.
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