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Regularised gradient boosting for financial time-series modelling

  • Published:2017-05-23 Issue:3 Volume:14 Page:367-391
  • ISSN:1619-697X
  • Container-title:Computational Management Science
  • language:en
  • Short-container-title:Comput Manag Sci

Author:

Agapitos Alexandros,Brabazon Anthony,O’Neill Michael

Funder

Science Foundation Ireland (IE)

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Management Information Systems

Reference73 articles.

1. Agapitos A, Brabazon A, O’Neill M (2016) Genetic programming with memory for financial trading. In: Squillero G, Burelli P (eds) 19th European conference on the applications of evolutionary computation. Lecture Notes in Computer Science, vol 9597. Springer, Porto, pp 19–34

2. Agapitos A, Dyson M, Lucas SM, Sepulveda F (2008) Learning to recognise mental activities: genetic programming of stateful classifiers for brain–computer interfacing. In: Keijzer M, Antoniol G, Congdon CB, Deb K, Doerr B, Hansen N, Holmes JH, Hornby GS, Howard D, Kennedy J, Kumar S, Lobo FG, Miller JF, Moore J, Neumann F, Pelikan M, Pollack J, Sastry K, Stanley K, Stoica A, Talbi EG, Wegener I (eds) GECCO ’08: Proceedings of the 10th annual conference on genetic and evolutionary computation. ACM, Atlanta, pp 1155–1162

3. Agapitos A, Lucas SM (2006) Evolving efficient recursive sorting algorithms. In: Proceedings of the 2006 IEEE congress on evolutionary computation. IEEE Press, Vancouver, pp 9227–9234

4. Agapitos A, Lucas SM (2006) Learning recursive functions with object oriented genetic programming. In: Proceedings of the 9th European conference on genetic programming. Lecture notes in computer science, vol 3905. Springer, Budapest, pp 166–177

5. Agapitos A, Lucas SM (2007a) Evolving a statistics class using object oriented evolutionary programming. In: Ebner M, O’Neill M, Ekárt A, Vanneschi L, Esparcia-Alcázar AI (eds) Proceedings of the 10th European conference on genetic programming. Lecture notes in computer science, vol 4445. Springer, Valencia, pp 291–300

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