CS229 Lecture notes Andrew Ng Part VI Learning Theory

Source URL: see.stanford.edu

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

Source URL: cs.stanford.edu

CS229 Lecture notes Andrew Ng Part XI Principal components analysis

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Efficient L1 Regularized Logistic Regression Su-In Lee, Honglak Lee, Pieter Abbeel and Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305

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Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes Erick Delage, Honglak Lee, and Andrew Y. Ng Stanford University, Stanford, CA 94305 {edelage,hllee,ang}@cs.stanford.edu Summary. 3d reconstructi

Source URL: ai.stanford.edu

CS229 Lecture notes Andrew Ng Part VI Regularization and model

Source URL: see.stanford.edu

• Estimation theory
• Model selection
• Information theory
• Maximum likelihood
• Supervised learning
• Feature selection
• Kullback–Leibler divergence
• Regularization
• Mutual information
• Statistics
• Statistical theory
• Machine learning

Andrew Adams Stanford University 353 Serra Mall, Gates Bldg. Rm 376 Stanford University, CaliforniaPhone: (Email:

Source URL: people.csail.mit.edu

• Electronics
• Light field
• Optics
• Marc Levoy
• Year of birth missing
• Kurt Akeley
• Ren Ng
• Rendering
• Computational photography
• Computer graphics
• Digital photography
• Computing

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection Richard Socher, Eric H. Huang, Jeffrey Pennington∗ , Andrew Y. Ng, Christopher D. Manning Computer Science Department, Stanford University,

Source URL: nlp.stanford.edu

• Syntax
• Semantic similarity
• Parsing
• Semantics
• Parse tree
• Branching
• Linguistics
• Grammar
• Computational linguistics

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington∗ Eric H. Huang Andrew Y. Ng Christopher D. Manning Computer Science Department, Stanford University, Stanf

Source URL: nlp.stanford.edu

• Linear algebra
• Natural language processing
• Vector calculus
• N-gram
• Euclidean vector
• Support vector machine
• Vector space
• Algebra
• Mathematics
• Abstract algebra

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng and Christopher Potts Stanford University, Stan

Source URL: nlp.stanford.edu

• Abstract algebra
• Vectors
• Vector calculus
• Euclidean vector
• Sentiment analysis
• Vector
• Tensor
• Matrix
• Algebra
• Mathematics
• Linear algebra