Supervised similarity learning for corporate bonds using Random Forest proximities-Reference-Cited by-同舟云学术

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Supervised similarity learning for corporate bonds using Random Forest proximities

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:3rd ACM International Conference on AI in Finance
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Author:

Jeyapaulraj Jerinsh¹,Desai Dhruv²,Mehta Dhagash²,Chu Peter²,Pasquali Stefano²,Sommer Philip²

Affiliation:

1. BlackRock, Inc, US

2. BlackRock, Inc., US

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3533271.3561736

Reference51 articles.

1. Charu C Aggarwal . 2016. Recommender systems . Springer . Charu C Aggarwal. 2016. Recommender systems. Springer.

2. A Comprehensive Analysis of Traditional Clustering Algorithms On Corporate Bond Data

3. Leo Breiman . 2001. Random forests. Machine learning 45, 1 ( 2001 ), 5–32. Leo Breiman. 2001. Random forests. Machine learning 45, 1 (2001), 5–32.

4. L Brieman and A Cutler. [n.d.]. Random Forests. https://www.stat.berkeley.edu/ breiman/RandomForests/cc_home.htm. L Brieman and A Cutler. [n.d.]. Random Forests. https://www.stat.berkeley.edu/ breiman/RandomForests/cc_home.htm.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying Outlierness of Funds from their Categories using Supervised Similarity;4th ACM International Conference on AI in Finance;2023-11-25

2. How Trading Analytics and Data Science Can Improve Investment Outcomes;The Journal of Investing;2022-10-12

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