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Zhai
Results: 84

#	Item
71	Yale University Department of Computer Science Auditing the Structural Reliability of the Clouds Ennan Zhai David Isaac Wolinsky Hongqiang Liu Add to Reading List Source URL: dedis.cs.yale.edu Language: English - Date: 2013-11-10 11:51:35 Failure Systems engineering Cloud infrastructure Cloud storage Reliability engineering Amazon Elastic Compute Cloud Data center Downtime Fault tree analysis Cloud computing Computing Centralized computing
72	An Untold Story of Redundant Clouds: Making Your Service Deployment Truly Reliable Ennan Zhai† Ruichuan Chen‡ † Add to Reading List Source URL: dedis.cs.yale.edu Language: English - Date: 2013-11-10 11:37:29 Cloud infrastructure Azure Services Platform Cloud storage IICCRD Cloud computing Centralized computing Computing
73	Yale University Department of Computer Science Auditing the Structural Reliability of the Clouds Ennan Zhai David Isaac Wolinsky Hongqiang Liu Add to Reading List Source URL: dedis.cs.yale.edu Language: English - Date: 2013-07-10 18:00:25 Failure Systems engineering Cloud infrastructure Cloud storage Reliability engineering Amazon Elastic Compute Cloud Data center Downtime Fault tree analysis Cloud computing Computing Centralized computing
74	A Note on the Expectation-Maximization (EM) Algorithm ChengXiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign November 2, 2004 Add to Reading List Source URL: www.cs.ust.hk Language: English - Date: 2006-03-11 03:50:39 Bayesian statistics Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Likelihood function Mixture model Kullback–Leibler divergence Extremum estimator Statistics Estimation theory Statistical theory
75	A Formal Study of Information Retrieval Heuristics Hui Fang Tao Tao ChengXiang Zhai Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2008-09-16 09:57:03 Tf*idf Okapi BM25 Vector space model Term Discrimination Document retrieval Uncertain inference Probabilistic relevance model Relevance Precision and recall Information science Information retrieval Science
76	Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track V.G.Vinod Vydiswaran, Kavita Ganesan, Yuanhua Lv, Jing He, ChengXiang Zhai Department of Computer Science University of Illinois, Urbana, I Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-03-18 11:28:02 Information retrieval Computational linguistics Text Retrieval Conference Information extraction Search engine indexing Database Information science Science Natural language processing
77	Discovering Latent Structure in Task-Oriented Dialogues Ke Zhai∗ Jason D. Williams Computer Science, University of Maryland Microsoft Research College Park, MD 20740 Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-04-23 13:20:38 Machine learning Statistical natural language processing Computational linguistics Bioinformatics Hidden Markov model Vehicle Identification Number Speech recognition Language model Mixture model Statistics Markov models Probability and statistics
78	CALIFORNIA STATE SCIENCE FAIR 2013 PROJECT SUMMARY Name(s) Alice R. Zhai Add to Reading List Source URL: www.usc.edu Language: English - Date: 2013-04-13 17:37:52 Tropical cyclone Vortices North Atlantic tropical cyclone Hurricane Katrina Accumulated cyclone energy Meteorology Atmospheric sciences Fluid dynamics
79	Ke Zhai and Jordan Boyd-Graber. Online Topic Models with Infinite Vocabulary. International Conference on Machine Learning, 2013. @inproceedings{Zhai:Boyd-Graber-2013, Title = {Online Topic Models with Infinite Vocabular Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Dynamic topic model Latent Dirichlet allocation Topic model Dirichlet process Mixture model Dirichlet distribution Variational Bayesian methods Information retrieval Prior probability Statistics Probability and statistics Statistical natural language processing
80	Yuening Hu, Ke Zhai, Vlad Eidelman, and Jordan Boyd-Graber. Polylingual Tree-Based Topic Models for Translation Domain Adaptation. Association for Computational Linguistics, 2014. @inproceedings{Hu:Zhai:Eidelman:Boyd-Gra Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:37 Artificial intelligence Latent Dirichlet allocation Topic model Language model Statistical machine translation Word-sense disambiguation Variational Bayesian methods Markov chain Machine translation Statistical natural language processing Statistics Science