In this paper, a method of unsupervised learning is proposed for the purposes of reducing large-scale complex dynamic systems. Reduction of a system is carried out through the division of state variables into groups and through the selection of the characteristic representatives of each group. The p
Modeling the hiding–learning dynamics in large living systems
✍ Scribed by N. Bellomo
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 267 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0893-9659
No coin nor oath required. For personal study only.
✦ Synopsis
This paper deals with the modeling of large systems of interacting entities in the framework of the mathematical kinetic theory for active particles. Various mathematical structures of the hiding-learning dynamics are derived at the mesoscopic scale. Subsequently, these structures are further detailed referring to modeling issues and, in particular, to the learning-hiding competition among tumors and the immune system cells.
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