Topic Modeling Variation across News Sources Gregory Ichneumon Brown ABSTRACT In this project we apply topic models to news articles to infer topics that provide insight into the variation between to

Source URL: greg.ichneumon.net

• Statistical natural language processing
• Statistics
• Probability
• Artificial intelligence
• Topic model
• Latent Dirichlet allocation
• Dirichlet distribution
• Gibbs sampling
• Usenet newsgroup
• News
• Unsupervised learning
• Dynamic topic model

UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun Courant Institute of Mathematical Sciences New York University ; ya

Source URL: yann.lecun.com

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan*1 , Animesh Garg*2 , Sachin Patil1 , Colin Lea3 , Gregory Hager3 , Pieter Abbeel1 , Ken Goldberg1,2 *denotes e

Source URL: goldberg.berkeley.edu

• Statistics
• Markov models
• Machine learning
• Computational statistics
• Cluster analysis
• Mixture model
• Image segmentation
• Hidden Markov model
• K-means clustering
• Expectationmaximization algorithm
• BaumWelch algorithm
• Hierarchical clustering

Unsupervised Learning of Semantic Relation Composition Eduardo Blanco and Dan Moldovan Human Language Technology Research Institute The University of Texas at Dallas Richardson, TXUSA {eduardo,moldovan}@hlt.utdall

Source URL: www.cse.unt.edu

Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, and Hal Daum´e III. Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. North American Association for Comput

Source URL: www.cs.colorado.edu

Microsoft PowerPoint - cs559f15_Week12.pptx

Source URL: www.cs.stevens.edu

• Machine learning
• Cybernetics
• Learning
• Unsupervised learning
• K-means clustering
• Pattern recognition

Unsupervised Visual Representation Learning by Context Prediction Carl Doersch1,2 School of Computer Science Carnegie Mellon University 2

Source URL: arxiv.org

Unsupervised Multilingual Learning for POS Tagging Benjamin Snyder, Tahira Naseem Jacob Eisenstein and Regina Barzilay MIT

Source URL: pages.cs.wisc.edu

Unsupervised Multilingual Learning by Benjamin Snyder Submitted to the Department of Electrical Engineering and Computer Science

Source URL: pages.cs.wisc.edu

Pedestrian Detection with Unsupervised Multi-Stage Feature Learning Pierre Sermanet Koray Kavukcuoglu Soumith Chintala

Source URL: koray.kavukcuoglu.org