Domain knowledge, uncertainty, and parameter constraints

Bibliographic Details
Main Author:	Mao, Yi
Published:	Georgia Institute of Technology 2011
Subjects:	Sentiment analysis Constrained optimization Empirical bayes Supervised learning Supervised learning (Machine learning) Machine learning Artificial intelligence
Online Access:	http://hdl.handle.net/1853/37295

id	ndltd-GATECH-oai-smartech.gatech.edu-1853-37295
record_format	oai_dc
spelling	ndltd-GATECH-oai-smartech.gatech.edu-1853-372952013-01-07T20:37:09ZDomain knowledge, uncertainty, and parameter constraintsMao, YiSentiment analysisConstrained optimizationEmpirical bayesSupervised learningSupervised learning (Machine learning)Machine learningArtificial intelligenceGeorgia Institute of Technology2011-03-04T21:05:40Z2011-03-04T21:05:40Z2010-08-24Dissertationhttp://hdl.handle.net/1853/37295
collection	NDLTD
sources	NDLTD
topic	Sentiment analysis Constrained optimization Empirical bayes Supervised learning Supervised learning (Machine learning) Machine learning Artificial intelligence
spellingShingle	Sentiment analysis Constrained optimization Empirical bayes Supervised learning Supervised learning (Machine learning) Machine learning Artificial intelligence Mao, Yi Domain knowledge, uncertainty, and parameter constraints
author	Mao, Yi
author_facet	Mao, Yi
author_sort	Mao, Yi
title	Domain knowledge, uncertainty, and parameter constraints
title_short	Domain knowledge, uncertainty, and parameter constraints
title_full	Domain knowledge, uncertainty, and parameter constraints
title_fullStr	Domain knowledge, uncertainty, and parameter constraints
title_full_unstemmed	Domain knowledge, uncertainty, and parameter constraints
title_sort	domain knowledge, uncertainty, and parameter constraints
publisher	Georgia Institute of Technology
publishDate	2011
url	http://hdl.handle.net/1853/37295
work_keys_str_mv	AT maoyi domainknowledgeuncertaintyandparameterconstraints
_version_	1716475465607151616

Domain knowledge, uncertainty, and parameter constraints

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