Efficient Second-Order Gradient Boosting for Conditional Random Fields

By Tianqi Chen, Sameer Singh, B. Taskar, Carlos Guestrin. 2015

31 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Son Dinh Tran
2. A.S. d'Avila Garcez
3. Tianqi Chen
4. Carlos Guestrin
5. Jie Yin
6. Tillman Weyde
7. Qing Zhang
8. M. Karunanithi

Citations in the corpus

• XGBoost: A Scalable Tree Boosting System (2016, methodology): “Gradient tree boosting has been successfully used in classification [12], learning to rank [5], structured prediction [8] as well as other fields.”
• Sequence Classification Restricted Boltzmann Machines With Gated Units (2020, methodology): “While some studies focus on predicting time-series events [4], [5], classification with sequential data also receives significant attention [6]–[8].”