Building Dynamic Cloud Maps from the Ground Up Calvin Murdock Machine Learning Department Carnegie Mellon University Nathan Jacobs

Source URL: www.cv-foundation.org

A Non-Prenex, Non-Clausal QBF Solver with Game-State Learning William Klieber, Samir Sapra, Sicun Gao, and Edmund Clarke? Computer Science Department Carnegie Mellon University Pittsburgh, Pennsylvania

Source URL: www.cs.cmu.edu

Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu

Source URL: www.anthology.aclweb.org

Fast Kernel Learning for Multidimensional Pattern Extrapolation Andrew Gordon Wilson∗ Carnegie Mellon University

Source URL: www.cs.cmu.edu

Examples of Bayesian Statistical Thinking in Neuroscience Rob E. Kass Department of Statistics, Machine Learning Department, and Center for the Neural Basis of Cognition Carnegie Mellon University

Source URL: www.icts.uci.edu

B. Malin, L. Sweeney, and E. Newton. Trail re-identification: learning who you are from where you have been. LIDAP-WP12. Carnegie Mellon University, Laboratory for International Data Privacy, Pittsburgh, PA: March 2003.

Source URL: dataprivacylab.org

Action Selection via Learning Behavior Patterns in Multi-Robot Systems Can Erdogan and Manuela Veloso Carnegie Mellon University Pittsburgh, PA

Source URL: canerdogan.wdfiles.com

NLP  Demys*fied   Noah  Smith   Language  Technologies  Ins*tute   Machine  Learning  Department   School  of  Computer  Science   Carnegie  Mellon  University  

Source URL: homes.cs.washington.edu

Garden­Based Learning at North  Elementary School­­What a Feast!  What a GIG!  Background and Purpose  Garden­Based Learning (GBL) at North Elementary School is entering its third full year

Source URL: phaven-prod.s3.amazonaws.com

• Panorama photography
• Ames Research Center
• Carnegie Mellon University
• Gigapan
• Next Generation Science Standards
• Concept
• Snapshot
• Philosophy
• Cognition
• Academia

Visualizing and Understanding Neural Models in NLP Jiwei Li1 , Xinlei Chen2 , Eduard Hovy2 and Dan Jurafsky1 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA Technology Institute, Carnegie Mell

Source URL: web.stanford.edu

• Artificial neural networks
• Neuroscience
• Cognitive science
• Computational neuroscience
• Artificial intelligence
• Machine learning
• Computational statistics
• Deep learning
• Word embedding
• Recurrent neural network
• Language model
• Long short-term memory