Exact(1)
With these new technologies innovative didactic concepts are required to cope with new arising tasks on the job and in the development of such systems.
Similar(59)
He faced many challenges arising from tasks unfinished at the time of his predecessor's death and from the long hiatus without a bishop.
In the absence of such a forum, high workloads mean that there is little time to discuss issues with fellow staff members, other than occasional opportunities arising between tasks and/or shifts: 'it's just a chat, when you can get one' (carer); 'We just… talk, like in our breaks, just two minutes' (carer).
Previous studies have shown that task competition arises between tasks differing in relative strength (Liefooghe et al. 2009).
The multiple instance problem arises in tasks where the training examples are ambiguous: a single example object may have many alternative feature vectors (instances) that describe it, and yet only one of those feature vectors may be responsible for the observed classification of the object.
ALWABP-2 arises when task times differ depending on operator skills and concerns with the assignment of tasks and operators to stations in order to minimize the cycle time.
The complexity of many tasks arising in these domains makes them difficult to solve with pre-programmed agent behaviors.
Sixteen artificial datasets have been generated covering all the combinations of these four binary meta-descriptors expecting to simulate a wide range of real datasets' structures arising in classification tasks.
The idea of the integration was to build up a prototype system for forestry decision-making at landscape (forest enterprise) level to support the spatially oriented tasks arising from Criteria & Indicators (C&I) of Sustainable Forest Management (SFM).
A current approach is multi-agent reinforcement learning (MARL), because the complexity of many tasks arising in complex domains makes it difficult to solve them with pre-programmed (single) agent behaviors, instead, agents can discover a solution on their own, using learning.
It's where you find what I like to call strategic alignment where you can make priorities about the kind of efforts you want to make in future, and where you aren't driven by random interests or tasks arising on an ad hoc basis.
Write better and faster with AI suggestions while staying true to your unique style.
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