Best investment strategy selection using asymptotic meta learning
Meta learning is an advanced field of machine learning where automatic learning algorithms are applied to acquire meta-knowledge for a set of learning algorithms called base learners. One of meta-learning purposes is to select the best base learners for certain kind of data set to support future lea...
Main Authors: | Lin, J, Xiang, H, Li, J, Chen, C-H |
---|---|
Format: | Conference item |
Jezik: | English |
Izdano: |
IEEE
2018
|
Podobne knjige/članki
-
Asymptotic meta learning for cross validation of models for financial data
od: Xiang, H, et al.
Izdano: (2020) -
The guru investor : how to beat the market using history's best investment strategies /
od: Reese, John, 1953-
Izdano: (2009) -
Selecting the Best Routing Traffic for Packets in LAN via Machine Learning to Achieve the Best Strategy
od: Bo Zhang, et al.
Izdano: (2021-01-01) -
Analytical Support for Selecting the Best Investment Project in the Presence of Fuzzy Data
od: Kotsyuba Oleksiy S.
Izdano: (2017-12-01) -
Investor factline : finding & using the best investment information /
od: 227772 Thomsett, Michael C.
Izdano: (c198)