- Tytuł:
- Effectiveness of active forgetting in machine learning applied to financial problems
- Autorzy:
-
Nakayama, H.
Yoshii, K. - Powiązania:
- https://bibliotekanauki.pl/articles/309245.pdf
- Data publikacji:
- 2002
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
pattern classification
potential method
additional learning
forgetting - Opis:
- One of main features in financial investment problems is that the situation changes very often over time. Under this circumstance, in particular, it has been observed that additional learning plays an effective role. However, since the rule for classification becomes more and more complex with only additional learning, some appropriate forgetting is also necessary. It seemms natural that many data are forgotten as the time elapses. On the other hand, it is expected more effective to forget unnecessary data actively. In this paper, several methods for active forgetting are suggested. The effectiveness of active forgetting is shown by examples in stock portfolio problems.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2002, 3; 24-29
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki