AdaBoost.RT: a boosting algorithm for regression problems

By Dimitri P. Solomatine, Durga L. Shrestha. 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004

319 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/873e479818042c9e916249f53c131a151d17f49d

How researchers see this paper

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

In Artificial Intelligence

1. Rohitash Chandra
2. Azal Ahmad Khan
3. Omkar Chaudhari

In Civil and Structural Engineering

1. Rohitash Chandra
2. Azal Ahmad Khan
3. Omkar Chaudhari

Citations in the corpus

• A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation (2023, methodology): “Examples of ensemble methods include bagging, boosting, and stacking with prominent implementations such as AdaBoost [28] and random forests [29].”
• Machine learning approaches for estimation of prediction interval for the model output (2006, unknown): “The hydrologic data sets used in this experiment related to the river flows prediction in the Sieve catchment in Italy (Solomatine & Dulal, 2003; Solomatine & Shrestha, 2004).”