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Support Vector Machine (SVM): An SVM is a machine-learning mechanism for solving pattern recognition problems.
In [54], for instance, a machine-learning mechanism for transmission power assignment in a non-cooperative environment is proposed.
Presenting a systematic and categorized overview of the current approaches to machine learning mechanisms in the data mining topics.
For this, they use MPTP and theorem provers like E and SPASS enhanced with symbol-based machine learning mechanisms.
Meanwhile, malware detection tasks are performed based on incremental machine learning mechanisms, because of the potential complexity of this tasks.
K-means is a partitioning approach, whereas SOM is a method based on a machine learning algorithm that uses a competition and cooperation mechanism to achieve unsupervised learning, processed as implemented in the R package yasomi [ 27, 28].
A broker dynamically controls the number of resources using a threshold-based mechanism and utilizes a prediction system based on a machine learning approach to predict future workloads.
-Amazon launches a machine learning analytics service.
Our unified approach is based on a machine learning paradigm.
To address these questions, we used a machine learning approach.
Support vector machine (SVM) is a machine learning algorithm mainly used for the purpose of classification.
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