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WEKA – A machine learning software used by the prediction operations.
The external projects used by this application are listed below: WEKA – A machine learning software used by the prediction operations.
Another implementation of K-means is Apache Mahout [20] which is used as a machine learning software that allows applications to analyze a large set of data.
The LS-SVM employs a machine learning software package known for its quick operation, strong generalization, and ability to solve various practical problems, such as those involving small sample sizes, over-fitting, and high dimensions [21 23].
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The proposed algorithm can increase the utility of any machine learning software by giving an user a method with which by doing few disturbances in the trainable parameters transfers the new information into the architecture.
The proposed algorithm may enhance the utility of any machine learning software by reducing the training time for transfer learning.
Software used for this study is scikit-learn [33], an open source machine learning software package in Python.
The time required to train and process a reconstruction using the machine learning software is significantly longer than a simple filter and threshold operation, but is likewise faster and more repeatable than a manual image classification and with comparable accuracy.
We used Weka (Waikato Environment for Knowledge Analysis), a popular suite of machine learning software, to perform modeling tasks [38].
Earlier this year, it launched a contest with State Farm to develop machine learning software, to be embedded in dashboard cameras, to classify a driver's behavior, such as being distracted by a smartphone when behind the wheel.
The solution is the first to offer an FIR camera with built-in machine learning software for processing the results, in a solid-state form factor with no moving parts, at a cost that AdaSky says is "suited for mass market" use.
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