Neural Information Processing Systems / Ford / york co / Document Collection LDA / Chrysler / Intel / /
Country
Jordan / United States / Iraq / Kuwait / / /
Event
M&A / /
Facility
Eric Xing Machine Learning Department Carnegie Mellon University / air force base Figure / store KV / /
Holiday
New Year's Day / /
IndustryTerm
semantic network / summarization tool / bank / interested data-mining practitioner / francisco san systems / estate mcdonnell junk deposit real kravis rjr bank / interior point solution / unsupervised algorithm / query-expansion algorithm / variational algorithm / /
Movie
CHILDREN / /
NaturalFeature
gulf persian / /
OperatingSystem
Xp / /
Organization
Congress / Hizballah / Carnegie Mellon University / /
Person
Saddam-Hussein / Addison Wesley / Tariq-Aziz / Bennett Manigat / Amr Ahmed / William Cohen / Eric Xing / /
Position
Prime Minister / vice-president / president / minister / correspondent / president of the United States / Students Schools Education Teachers High Public Teacher / Namphy State President / Actor First York Opera Theater Actress / representative / Troops Iraq Air States Force Official / unified probabilistic model for capturing within-topic word correlations / /
PublishedMedium
Journal of Machine Learning Research / /
Technology
RAM / following algorithm / variational algorithm / completely unsupervised algorithm / Sparse Word Graphs algorithm / unix / Xeon 1.86GHz processor / Machine Learning / HAL algorithm / query-expansion algorithm / be computed using a variational algorithm / /
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue