| Machine learning in quantitative finance | |
| HG Finance;QA75 Electronic computers. Computer science | |
| Ha, Youngmin ; Cerrato, Mario | |
| University:University of Glasgow | |
| Department:Adam Smith Business School | |
| 关键词: relevance vector machine, online portfolio selection, algorithmic trading.; | |
| Others : http://theses.gla.ac.uk/8558/7/2017haphd.pdf | |
| 来源: University of Glasgow | |
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【 摘 要 】
This thesis consists of the three chapters.Chapter 1 aims to decrease the time complexity of multi-output relevance vector regression from O(VM^3) to O(V^3+M^3), where V is the number of output dimensions, M is the number of basis functions, and V【 预 览 】
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