The MLT project built a basis for the commercial use of machine learning techniques.
The machine learning toolbox (MLT) project builds a basis for the commercial use of machine learning techniques. This is being done in 3 ways:
development and adaption of a toolbox of different learning algorithms (the algorithms cover a broad range of applications and have been made robust enough to stand up to industrial use and the delivery hardware and software both comply with industry standards);
development of an advisory consultant for the system (this allows users unfamiliar with machine learning to incorporate the technology in their applications);
use of a series of applications to guide the development of the above components.
Evaluation and implementation processes will be developed from the experience gained, which will be in the field of vision and network maintenance.
Although machine learning techniques are still in their youth, it is expected that 2 main effects of the project will be to:
act as a focal point for machine learning activities in Europe, and pave the way for the definition of standard interfaces and representation formalisms;
enables tests to be made on real life industrial applications of the usability of these techniques (plans currently cover manufacturing applications, the consolidation of an advanced knowledge engineering environment, and the development and implementation of a knowledge based clinical support system).
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