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The pattern of task allocation is close to that of task division because it has to solve the allocation problems based on task division (Puranam et al., 2014).
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In this paper, a matrix modular neural network (MMNN) based on task decomposition with subspace division by adaptive affinity propagation clustering is developed to solve classification tasks.
Refactoring approach based on task Context.
Self-selection is based on the task division of co-specialization, which is a process with low levels of centralization.
The first approach is based on data division, where the same task is performed simultaneously by each thread on an independent part of the data.
All modern economies are based on the division of labor.
Hierarchy is based on the division of labour: each unit is functionally differentiated and assigned a set of specific tasks.
Based on the division, 22 derivatives were synthesized.
We then compared its output against the classical methods based on blank division and detrending.
A technique based on Cantor division is used to embellish artistic knotwork designs.
Based on the division result, parallel phase partition method is conducted to avoid error accumulation and connect the division result with monitoring system.
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