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Output space,, is the space of possible predictions; classification problems involve a binary setting y ∈ {−1,+1}, whereas for a regression problem, target values span a continuous range, e.g., y ∈ [−1,1].
Fig. 1 Hierarchy of material classes Table 2 Patterns of misunderstandings and methods of changing materials (assume H2SO4 appears in the original problem) Target of learning Pattern of misunderstanding Example Changing materials Applying conditions (e.g., x ∈ acid) Applying conditions understood by learners who are narrower than the correct one.
The first step in this method is to relate the separate problem target scores to the achieved end scores.
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This was the problem targeted by the winning team of the Nokia Medicine X Digital Health Challenge – an international research challenge using wearables to investigate clinical problems.
Our paper studies this problem, targeting the energy-delay product (EDP) as the main metric to optimize.
The optimisation problem targeting the minimal heat transfer area under the requirements of proper operating conditions is observed.
One problem: Targeting any one defective gene isn't enough.
This problem targets at dynamically learning user preferences regarding the perceived QoS level per service/application and potentially, the maximum acceptable price per service/application [31].
Therefore, to overcome this problem, targeted drug delivery systems such as thermo-, pH-, ultrasound-, and optical-sensitive liposomes have been studied [9, 10].
The problem targeted by this article is defined as follows.
To mitigate this problem, "targeted profiling" method was introduced.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com