Multi-target regression via input space expansion: treating targets as inputs-Reference-Cited by-同舟云学术

Multi-target regression via input space expansion: treating targets as inputs

Published:2016-02-19 Issue:1 Volume:104 Page:55-98
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Spyromitros-Xioufis Eleftherios^ORCID,Tsoumakas Grigorios,Groves William,Vlahavas Ioannis

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s10994-016-5546-z.pdf

Reference85 articles.

1. Aho, T., Zenko, B., Dzeroski, S., & Elomaa, T. (2012). Multi-target regression with rule ensembles. Journal of Machine Learning Research, 13, 2367–2407.

2. Álvarez, M. A., & Lawrence, N. D. (2011). Computationally efficient convolved multiple output gaussian processes. Journal of Machine Learning Research, 12, 1459–1500.

3. Alvarez, M. A., Rosasco, L., & Lawrence, N. D. (2011). Kernels for vector-valued functions: A review. arXiv preprint arXiv:1106.6251 .

4. Ando, R. K., & Zhang, T. (2005). A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research, 6, 1817–1853.

5. Argyriou, A., Evgeniou, T., & Pontil, M. (2006). Multi-task feature learning. In Advances in neural information processing systems 19, Proceedings of the twentieth annual conference on neural information processing systems, Vancouver, British Columbia, Canada, December 4–7, 2006, pp. 41–48.

Cited by 241 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. Bayesian learning of feature spaces for multitask regression;Neural Networks;2024-11

2. Self-Supervised Dam Deformation Anomaly Detection Based on Temporal–Spatial Contrast Learning;Sensors;2024-09-09

3. Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils;Agriculture;2024-08-06

4. Condensed-gradient boosting;International Journal of Machine Learning and Cybernetics;2024-07-23

5. Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14