Implementation of decision trees for embedded systems

This research work develops real-time incremental learning decision tree solutions suitable for real-time embedded systems by virtue of having both a defined memory requirement and an upper bound on the computation time per training vector. In addition, the work provides embedded systems with the ca...

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Bibliographic Details

Main Author:	Bashar Badr
Format:	Default Thesis
Published:	2014
Subjects:	Mechanical engineering not elsewhere classified Decision tree learning Real-time embedded systems Incremental learning Multi-dimensional frequency table Hashed frequency table and field-programmable gate arrays Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/14711
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