Andrew Ng
Andrew Ng
Verifierad e-postadress på cs.stanford.edu - Startsida
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Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
the Journal of machine Learning research 3, 993-1022, 2003
385872003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems, 849-856, 2002
98722002
ROS: an open-source Robot Operating System
M Quigley, K Conley, B Gerkey, J Faust, T Foote, J Leibs, R Wheeler, ...
ICRA workshop on open source software 3 (3.2), 5, 2009
86142009
Recursive deep models for semantic compositionality over a sentiment treebank
R Socher, A Perelygin, J Wu, J Chuang, CD Manning, AY Ng, C Potts
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
53232013
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
49102013
Distance metric learning with application to clustering with side-information
E Xing, M Jordan, SJ Russell, A Ng
Advances in neural information processing systems 15, 521-528, 2002
35372002
Large scale distributed deep networks
J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ...
33612012
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2007
31882007
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
H Lee, R Grosse, R Ranganath, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
29532009
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
29362011
Learning word vectors for sentiment analysis
A Maas, RE Daly, PT Pham, D Huang, AY Ng, C Potts
Proceedings of the 49th annual meeting of the association for computational …, 2011
29192011
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
AY Ng, MI Jordan
Advances in neural information processing systems, 841-848, 2002
28622002
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
ICML, 2011
27122011
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
26832004
An analysis of single-layer networks in unsupervised feature learning
A Coates, A Ng, H Lee
Proceedings of the fourteenth international conference on artificial …, 2011
26472011
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
25542013
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 2, 2000
24472000
Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks
R Snow, B O’connor, D Jurafsky, AY Ng
Proceedings of the 2008 conference on empirical methods in natural language …, 2008
22832008
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
21872016
Feature selection, L1 vs. L2 regularization, and rotational invariance
AY Ng
Proceedings of the twenty-first international conference on Machine learning, 78, 2004
19552004
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Artiklar 1–20