Andrew Y. Ng - Concepedia

Author

Andrew Y. Ng

Also Known As

Andrew Y. Ng, Andrew Ng, Andrew Y Ng, Andrew Y. Ng, Bastani, Osbert, Langlotz, Curtis, Ng, A., Ng, Andrew, Ng, Andrew Y, Ng, Andrew Y.

388

Publications

129.1K

Citations

125

H-Index

325

Concepts

All Affiliations

Stanford University University of California, Berkeley

About

Andrew Y. Ng is an author at Stanford University specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	82	139	65.8K
2	Health Sciences	19	25	3.9K
3	Education	7	7	776
4	Business	6	6	654
5	Arts	2	2	53

Andrew Y. Ng

235

Publications

120.6K

Citations

120

H-Index

Page 1

	Year	Citations
Latent dirichlet allocation David M. Blei, Andrew Y. Ng, Michael I. Jordan Journal of Machine Learning Research Latent Dirichlet AllocationEngineeringCorpus LinguisticsAutomatic SummarizationText Mining	2003	26.9K
On Spectral Clustering: Analysis and an algorithm Andrew Y. Ng, Michael I. Jordan, Yair Weiss	2001	7.8K
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Y. Wu,	2013	6.6K
Learning Word Vectors for Sentiment Analysis Andrew L. Maas, Raymond E. Daly, Peter T. Pham,	2011	3.3K
Large Scale Distributed Deep Networks Jay B. Dean, Greg S. Corrado, Rajat Monga,	2012	2.9K
Apprenticeship learning via inverse reinforcement learning Pieter Abbeel, Andrew Y. Ng Artificial IntelligenceReward FunctionInverse Reinforcement LearningEngineeringMachine Learning	2004	2.8K
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, Nature Medicine Electrophysiological EvaluationDeep Neural NetworksEngineeringMachine LearningDeep Learning	2018	2.7K
Distance Metric Learning with Application to Clustering with Side-Information Eric P. Xing, Michael I. Jordan, Stuart Russell,	2002	2.7K
An analysis of single-layer networks in unsupervised feature learning Adam Coates, Andrew Y. Ng, Honglak Lee	2011	2.5K
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations Honglak Lee, Roger Grosse, Rajesh Ranganath, Convolutional Neural NetworkEngineeringMachine LearningDeep Belief NetworksAutoencoders	2009	2.4K

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