Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation
Abstract
References
Index Terms
- Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation
Recommendations
Focused multi-task learning in a Gaussian process framework
Multi-task learning, learning of a set of tasks together, can improve performance in the individual learning tasks. Gaussian process models have been applied to learning a set of tasks on different data sets, by constructing joint priors for functions ...
Focused multi-task learning using gaussian processes
ECML PKDD'11: Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part IIGiven a learning task for a data set, learning it together with related tasks (data sets) can improve performance. Gaussian process models have been applied to such multi-task learning scenarios, based on joint priors for functions underlying the tasks. ...
Focused multi-task learning using Gaussian processes
ECMLPKDD'11: Proceedings of the 2011th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part IIGiven a learning task for a data set, learning it together with related tasks (data sets) can improve performance. Gaussian process models have been applied to such multi-task learning scenarios, based on joint priors for functions underlying the tasks. ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 285Total Downloads
- Downloads (Last 12 months)285
- Downloads (Last 6 weeks)22
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in