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Out of the six investigated machine learning algorithms the result of Recursive Partitioning proved to be the most accurate.
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In the next section, we investigate machine learning algorithms for this kind of data.
In the future, we will further improve the classification performance by investigating other machine learning algorithms or ensembles of classifiers.
We investigate the potential of machine learning algorithms – Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) – to guide rehabilitation planning for home care clients.
Further, they are already investigating emerging artificial intelligence technologies, such as upgrading machine learning algorithms to deep learning ones, or investing in new generation of smart robotics, as a way to have an edge.
A general means of programming machine learning algorithms on multicore with the advantage of MapReduce were investigated to enable the parallel and distributed processing to be possible [77].
A general means of programming machine learning algorithms on multicore with the advantage of MapReduce has been investigated in [77].
Apply machine learning algorithms to specific tasks.
Implement and run experiments on assorted machine learning algorithms.
Machine learning algorithms to classify spinal muscular atrophy subtypes.
Your machine learning algorithms will classify handwritten digits and photographs.
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