Publications :: Search

Show author

On this page you see the details of the selected author.

Author information
First name:	Andrew Y.
Last name:	Ng
DBLP:	n/AndrewYNg
Rating:	(not rated yet)
Bookmark:

Below you find the publications which have been written by this author.

Show item 1 to 10 of 111  

Select a publication
Show	Title	Venue	Rating	Date
	J. Zico Kolter, Andrew Y. Ng. Near-Bayesian exploration in polynomial time.	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 2009	(0)	2009
	Rajat Raina, Anand Madhavan, Andrew Y. Ng. Large-scale deep unsupervised learning using graphics processors.	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 2009	(0)	2009
	Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng. A majorization-minimization algorithm for (multiple) hyperparameter learning.	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 2009	(0)	2009
	Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 2009	(0)	2009
	J. Zico Kolter, Andrew Y. Ng. Regularization and feature selection in least-squares temporal difference learning.	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 2009	(0)	2009
	Honglak Lee, Rajat Raina, Alex Teichman Teichman, Andrew Y. Ng. Exponential Family Sparse Coding with Application to Self-taught Learning.	IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009 2009	(0)	2009
	Jan Peters, Andrew Y. Ng. Guest editorial: Special issue on robot learning, Part A.	Auton. Robots 2009, Volume 27	(0)	2009
	Jan Peters, Andrew Y. Ng. Guest editorial: Special issue on robot learning, Part B.	Auton. Robots 2009, Volume 27	(0)	2009
	Adam Coates, Pieter Abbeel, Andrew Y. Ng. Apprenticeship learning for helicopter control.	Commun. ACM 2009, Volume 52	(0)	2009
	Ashutosh Saxena, Min Sun, Andrew Y. Ng. Make3D: Learning 3D Scene Structure from a Single Still Image.	IEEE Trans. Pattern Anal. Mach. Intell. 2009, Volume 31	(0)	2009

Your query returned 111 matches in the database.