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References in periodicals archive ?
Those lessons can help machine learning algorithms and practitioners address three core problems that plague any forecasting effort: disbelief in the forecast, lack of strategic context, and delegation of foresight thinking.
Infinera is to commercialise the machine-learning engine soon, and believes inserting a machine learning algorithm at a decision point could be applied 'to many more problems,' Voll said.
Another machine learning algorithm type is known as a decision tree.
The process of classifying text involves identifying the data to be used for training the machine learning algorithm. Usually such data are in formats not suitable for mining or that will not give quality results.
On the other hand, it became possible to use some of the existing Machine Learning algorithms, which depended either on computational resources or a number of available data points.
You can create the most elegant machine learning algorithm in the world, but it needs to solve a problem to be relevant to insurance.
Recently, machine learning algorithms, including support vector machine (SVM), multiple linear regression (MLR), and neural networks algorithms, have been used to estimate cuffless BP.
A supervised machine learning algorithm is one that requires some training in order to build a model.
The 27 regular papers discuss such topics as heuristics for determining the elimination ordering in the influence diagram evaluation with binary trees, combining constraint types from public data in aerial image segmentation, and towards a machine learning algorithm for predicting truck compressor failures using logged vehicle data.
The C4.5 algorithm, a decision tree algorithm, is also a widely used machine learning algorithm applied in many settings (8).
MONDAY, July 15, 2019 (HealthDay News) -- A new measure derived from conventional X-rays and a machine learning algorithm is effective for assessing bone-specific effects of osteoporosis treatment, according to a pilot study published in the July issue of Skeletal Radiology.
MyoKardia's proprietary machine learning algorithm identified individuals with oHCM with a sensitivity of 0.95 and a specificity of 0.98.
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