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Andrew Ng
Results: 129

#	Item
61	Semantic Compositionality through Recursive Matrix-Vector Spaces Richard Socher Brody Huval Christopher D. Manning Andrew Y. Ng , {brodyh,manning,ang}@stanford.edu Computer Science Department, Stanford Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-06-04 17:13:09 Abstract algebra Vectors Information retrieval Matrix theory Matrix Vector space model Semantic similarity Euclidean vector Recurrent neural network Algebra Mathematics Linear algebra
62	Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks Richard Socher, Christopher D. Manning, Andrew Y. Ng Department of Computer Science Stanford University Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-03-09 16:41:06 Computational neuroscience Compiler construction Parsing Linguistics Cybernetics Recurrent neural network Semantics Chart parser Formal grammar Neural networks Science Formal languages
63	Reasoning With Neural Tensor Networks for Knowledge Base Completion Richard Socher∗, Danqi Chen, Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA richard@s Add to Reading List Source URL: nlp.stanford.edu Language: English* - Date: 2014-04-29 20:34:41 Vectors Abstract algebra Tensors Vector calculus Vector Entity-relationship model Euclidean vector WordNet Neural network Algebra Mathematics Linear algebra
64	Apprenticeship Learning via Inverse Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2004-05-04 19:26:28 Mu Statistics Reinforcement learning Markov decision process
65	Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, US Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-03-20 21:51:47 Computational linguistics Natural language processing Abstract algebra Linear algebra Information retrieval One-shot learning Semantic similarity Latent semantic analysis Euclidean vector Algebra Mathematics Science
66	arXiv:1301.3618v2 [cs.CL] 16 MarLearning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng Computer Science Depar Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-03-18 23:20:37 Computational linguistics Knowledge representation Abstract algebra Vectors Tensor Entity-relationship model WordNet Neural network Natural language processing Algebra Mathematics Linear algebra
67	Improving Word Representations via Global Context and Multiple Word Prototypes Eric H. Huang, Richard Socher∗ , Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-05-13 00:32:42 Natural language processing Semantics Information retrieval Corpus linguistics Semantic similarity Vector space model N-gram Speech recognition Word-sense disambiguation Linguistics Science Computational linguistics
68	General Announcement::Demise of Mr Andrew Ng Sung On, Chairman and Chief Ex... Page 1 of 1 General Announcement::Demise of Mr Andrew Ng Sung On, Chairman and Chief Executive of GP Batteries International Limited Issuer Add to Reading List Source URL: www.gp-industries.com Language: English - Date: 2014-04-20 11:37:14 Electromagnetism Ng Electrical engineering Gold Peak
69	The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization Adam Coates Andrew Y. Ng Stanford University, 353 Serra Mall, Stanford, CA 94305 Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:53:25 Signal processing Vector quantization Machine learning Encoding Support vector machine Quantization Statistics Mind Matching pursuit
70	Large Scale Distributed Deep Networks Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y. Ng {jeff, gcorr Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-13 14:54:36 Computational statistics Applied mathematics Mathematics Econometrics Network architecture Supervised learning Stochastic gradient descent Limited-memory BFGS Mathematical optimization Neural networks Statistics Computational neuroscience

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