Visualization Techniques for Topic Model Checking Jaimie Murdock and Colin Allen Program in Cognitive Science Indiana University {jammurdo,colallen}@indiana.edu

Source URL: www.jamram.net

• Statistical natural language processing
• Topic model
• Academia
• Learning
• Latent Dirichlet allocation
• Visualization
• Topic and comment
• Digital humanities
• Cognitive science
• Dynamic topic model

arXiv:1506.02216v3 [cs.LG] 19 JunA Recurrent Latent Variable Model for Sequential Data Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel∗, Aaron Courville, Yoshua Bengio†

Source URL: arxiv.org

• Statistics
• Probability
• Artificial neural networks
• Machine learning
• Statistical models
• Markov models
• Artificial intelligence
• Computational statistics
• Recurrent neural network
• Deep learning
• Long short-term memory
• Autoencoder

Relational Learning via Latent Social Dimensions Lei Tang Huan Liu Computer Science & Engineering

Source URL: leitang.net

CATEGORY LEVEL OBJECT SEGMENTATION Learning to segment objects with latent aspect models Diane Larlus, Fr´ed´eric Jurie LEAR Group, INPG-CNRS, INRIA Rhˆone-Alpes, France

Source URL: jurie.users.greyc.fr

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets Diederik P. Kingma Max Welling Machine Learning Group, University of Amsterdam

Source URL: www.ics.uci.edu

• Statistical models
• Statistical theory
• Statistical inference
• Expectation–maximization algorithm
• Bayesian network
• Gibbs sampling
• Normal distribution
• Maximum likelihood
• Latent variable
• Statistics
• Bayesian statistics
• Estimation theory

Journal of Machine Learning Research xx-xx Submitted 6/08; Published xx/xx Distributed Algorithms for Topic Models David Newman

Source URL: www.ics.uci.edu

• Latent Dirichlet allocation
• Statistical classification
• Bayesian networks
• Topic model
• Mixture model
• Dirichlet process
• Linear discriminant analysis
• Algorithm
• Gibbs sampling
• Statistics
• Statistical natural language processing
• Statistical models

DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley

Source URL: www.cs.berkeley.edu

• Statistical classification
• Statistical models
• Information retrieval
• Latent Dirichlet allocation
• Linear discriminant analysis
• Probabilistic latent semantic analysis
• Mixture model
• Topic model
• Maximum likelihood
• Statistics
• Statistical natural language processing
• Machine learning

Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling
@ics.uci.ed

Source URL: www.ics.uci.edu

• Latent Dirichlet allocation
• Linear discriminant analysis
• Machine learning
• Parallel computing
• Algorithm
• Gibbs sampling
• Mixture model
• Speedup
• Expectation–maximization algorithm
• Statistics
• Statistical natural language processing
• Statistical classification

Asynchronous Distributed Learning of Topic Models Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine Irvine, CA

Source URL: www.ics.uci.edu

• Statistical natural language processing
• Latent Dirichlet allocation
• Linear discriminant analysis
• Parallel algorithm
• Multi-core processor
• Topic model
• Algorithm
• Perplexity
• Speedup
• Statistics
• Parallel computing
• Computing

Unsupervised Learning of Visual Taxonomies Evgeniy Bart Caltech Pasadena, CAIan Porteous

Source URL: www.ics.uci.edu

• Statistical natural language processing
• Statistical models
• Computer vision
• Object recognition
• Latent Dirichlet allocation
• One-shot learning
• Mixture model
• Dirichlet process
• Graphical model
• Statistics
• Artificial intelligence
• Machine learning