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[6] O. Chapelle and Y. Chang. Yahoo! Learning to Rank Challenge Overview. Journal of Machine Learning Research - W & CP, 14:1–24, 2011.
[6] O. Chapelle and Y. Chang. Yahoo! Learning to Rank Challenge Overview. Journal of Machine Learning Research - W & CP, 14:1–24, 2011.


[7] T. Chen, H. Li, Q. Yang, and Y. Yu. General functional matrix factorization using gradient boosting. In Proceeding of 30th International Conference on Machine Learning
[7] T. Chen, H. Li, Q. Yang, and Y. Yu. General functional matrix factorization using gradient boosting. In Proceeding of 30th International Conference on Machine Learning (ICML’13), volume 1, pages 436–444, 2013.
(ICML’13), volume 1, pages 436–444, 2013.


[8] T. Chen, S. Singh, B. Taskar, and C. Guestrin. Efficient
[8] T. Chen, S. Singh, B. Taskar, and C. Guestrin. Efficient second-order gradient boosting for conditional random fields. In Proceeding of 18th Artificial Intelligence and Statistics Conference (AISTATS’15), volume 1, 2015.
 
second-order gradient boosting for conditional random fields. In Proceeding of 18th Artificial Intelligence and Statistics Conference (AISTATS’15), volume 1, 2015.


[9] R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871–1874, 2008.
[9] R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871–1874, 2008.

Revision as of 16:05, 23 November 2021

Presented by

  • Chun Waan Loke
  • Peter Chong
  • Clarice Osmond
  • Zhilong Li

Introduction

Tree Boosting In A Nutshell

Split Finding Algorithms

System Design

End To End Evaluations

Conclusion

References

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[8] T. Chen, S. Singh, B. Taskar, and C. Guestrin. Efficient second-order gradient boosting for conditional random fields. In Proceeding of 18th Artificial Intelligence and Statistics Conference (AISTATS’15), volume 1, 2015.

[9] R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871–1874, 2008.

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