Objective
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).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences knowledge engineering
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Data not available
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Data not available
Coordinator
91460 Marcoussis
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.