Deep learning for finance: deep portfolios. Applied Stochastic Models in Business and Industry. 2017 Jan 1;33(1):3-12. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2838013Heaton, JB, NG Polson & Jan Hendrik Witte (2017), `Deep learning for finance: deep portfolios', Applied ...
Deep Learning in Finance We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems -- such as t... JB Heaton,NG Polson,JH Witte 被引量: 28发表: 2016年 Discussion of 'Deep learning for finance: deep portfolios'...
Deep learning for finance: deep portfolios. We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems - such as th... Heaton,B J.,Polson,... - 《Applied Stochastic Models in Business & Industry》 被引量: 34...
The article reports on the deep learning for finance. Topics discussed include the deep learning models, and the problem of model estimation. Also being discussed are the model quality assessment, and the issue of trade-off between bias and variance of the model that can be addressed through ...
雖然DeepSeek(深度求索)對人工智能(AI)創新方面所帶來的影響尚待充分了解,但普遍的市場高度集中令其容易受回撤影響。
We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems -- such as those presented in designing and pricing securities, constructing portfolios, and risk management -- often involve large data sets with complex data ...
Deep learning for finance: deep portfolios. We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems - such as th... Heaton,B J.,Polson,... - 《Applied Stochastic Models in Business & Industry》 被引量: 34...
Building on our Market Navigator on US grocery retailing, we take a deeper dive into the sector’s real estate landscape, exploring retailers’ store portfolios, opening and closure strategies, and recent store traffic data. Read More Deep Dive ...
natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world...
Deep reinforcement learning (DRL) can be used to extract deep features that can be incorporated into reinforcement learning systems to enable improved decision-making; DRL can therefore also be used for managing stock portfolios. Traditional methods cannot fully exploit the advantages of DRL because th...