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Multi-task learning. Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models ...
In mathematical logic, monoidal t-norm based logic (or shortly MTL ), the logic of left-continuous t-norms, is one of the t-norm fuzzy logics. It belongs to the broader class of substructural logics, or logics of residuated lattices; [1] it extends the logic of commutative bounded integral residuated lattices (known as Höhle's monoidal logic ...
A U.S. Air Force military training leader ( MTL) is a non-commissioned officer with specific duties. They are assigned the duty of transitioning non-prior service airmen in the Air Force into the personal adjustment to military life. The MTLs' main responsibility is to continue the training the airman has learned in basic military training .
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The fragment Safety-MTL 0,v is defined as the subset of MITL 0,∞ containing only formulas in positive normal form where the interval of every until operator has an upper bound. For example, the formula ( a ( 0 , 1 ] b ) {\displaystyle \Box (a\implies \Diamond _{(0,1]}b)} which states that each a {\displaystyle a} is followed, less than one ...
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Metric temporal logic. Metric temporal logic (MTL) is a special case of temporal logic. It is an extension of temporal logic in which temporal operators are replaced by time-constrained versions like until, next, since and previous operators. It is a linear-time logic that assumes both the interleaving and fictitious-clock abstractions.