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The performance of the SOHN model (using recursive partitioning as the knowledge mining algorithm) is comparable to other mainstream machine learning methods.
It is possible to represent knowledge in the unified form of a hypothesis network allowing interpretable predictions with performances comparable to mainstream machine learning techniques.
What's worrying, the researchers underlined, is that the feat was accomplished with mainstream machine learning techniques that are widely known and available, and could be put to nefarious use by bad actors.
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This study compared four mainstream classical machine learning methods and one deep learning method.
As a research mainstream of data-driven models, various machine learning techniques were investigated in the literature.
The other example is Google Cloud Machine Learning Engine - a machine learning platform based on mainstream ML frameworks.
Fetch, in fact, is the latest in a series of releases from Microsoft that try to make understanding the complexities of machine learning more accessible to the mainstream user.
At present, the use of machine learning to classify PolSAR images has become the mainstream method, such as classification based on neural networks and fuzzy clustering [24], classification based on neural networks and principal component analysis [25], and classification based on Support Vector Machine [26].
Experiential results on five popular benchmark databases taken from University of California Irvine (UCI) machine learning database show high classification accuracy that is competitive with other classical and mainstream classifiers.
Mainstream cloud providers have shifted their focus from pushing traditional IaaS to selling PaaS based on machine learning.
The Omidyar Foundation found that in the six biggest emerging economies, using more data and machine learning techniques can get as many as 580 million unbanked people into the financial mainstream.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com