<--- Back to Details
First PageDocument Content
Machine learning / Artificial intelligence / Learning / Mathematics / Sparse approximation / Semantic memory / Regularization / Supervised learning / Semantic network / Sparse matrix / Dense graph
Date: 2011-02-04 14:34:11
Machine learning
Artificial intelligence
Learning
Mathematics
Sparse approximation
Semantic memory
Regularization
Supervised learning
Semantic network
Sparse matrix
Dense graph

Discovering Structure by Learning Sparse Graphs Brenden M. Lake and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology {brenden, jbt}@mit.edu Abstract

Add to Reading List

Source URL: cims.nyu.edu

Download Document from Source Website

File Size: 653,10 KB

Share Document on Facebook

Similar Documents

Machine Learning @ Amazon Rajeev Rastogi Director, Machine Learning Key Takeaways •

Machine Learning @ Amazon Rajeev Rastogi Director, Machine Learning Key Takeaways •

DocID: 1xVRp - View Document

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs  Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton  Sudarshan

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan

DocID: 1xVPK - View Document

R E P O RT R E P R I N T  Big data, machine learning shape performance-monitoring developments N A NCY GOHR ING

R E P O RT R E P R I N T Big data, machine learning shape performance-monitoring developments N A NCY GOHR ING

DocID: 1xVNc - View Document

Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs  Marvin - Open source artificial intelligence platform Lucas B. Miguel

Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Marvin - Open source artificial intelligence platform Lucas B. Miguel

DocID: 1xVLb - View Document

Machine Learning for Q&A sites: state of the art and research directions Xavier Amatriain Quora Inc. 650 Castro St #450 Mountain View, CA, US

Machine Learning for Q&A sites: state of the art and research directions Xavier Amatriain Quora Inc. 650 Castro St #450 Mountain View, CA, US

DocID: 1xVAM - View Document