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Latent learning
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111	Mining Common Topics from Multiple Asynchronous Text Streams ∗ Xiang Wang Kai Zhang Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:06 Time Timestamp Topic model Transmission Control Protocol Expectation–maximization algorithm Latent Dirichlet allocation Stream processing Statistics Statistical natural language processing Machine learning
112	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
113	Effective Latent Space Graph-based Re-ranking Model with Global Consistency Hongbo Deng Dept. of CSE The Chinese University of Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:13 PageRank Latent semantic analysis Learning to rank Tf*idf Probabilistic latent semantic analysis Document retrieval Relevance Latent semantic indexing Search engine indexing Information science Information retrieval Vector space model
114	Dear Jennings Community Learning Center Parents /Guardians and Staff Summit County Public Health has notified school administrators that a person in your school is suspected to have active tuberculosis. Tuberculosis (TB) Add to Reading List Source URL: www.scphoh.org Language: English - Date: 2015-04-03 09:27:16 Mantoux test Screening Tuberculin Tuberculosis classification Latent tuberculosis Tuberculosis Medicine Health
115	Automatic Labeling of Multinomial Topic Models Qiaozhu Mei, Xuehua Shen, Chengxiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign Urbana,IL 61801 {qmei2,xshen,czhai}@uiuc.edu Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2007-06-23 17:18:53 Natural language processing Computational linguistics Information retrieval Machine learning Topic model Dynamic topic model Probabilistic latent semantic analysis Mixture model Latent Dirichlet allocation Statistics Statistical natural language processing Science
116	Structured Generative Models of Natural Source Code Chris J. Maddison† University of Toronto CMADDIS @ CS . TORONTO . EDU Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-06-20 04:13:18 Graphical models Bayesian statistics Machine learning Tree traversal Generative model Bayesian network Latent variable Hidden Markov model N-gram Statistics Statistical models Probability
117	Journal of Universal Computer Science, vol. 14, no), submitted: , accepted: 6/5/08, appeared: © J.UCS Exposure and Support of Latent Social Networks among Learning Object Repository Us Add to Reading List Source URL: www.lon-capa.org Language: English - Date: 2010-01-03 16:36:21 Social information processing LON-CAPA Distance education Data management Knowledge representation Technical communication E-learning Reuse Social software Education Technology Information
118	Co-learning of Word Representations and Morpheme Representations Siyu Qiu Nankai University Tianjin, 300071, China Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2014-08-08 12:19:18 Morpheme Morphology Embedding Analogy Language Latent semantic analysis Natural language processing Word Speech recognition Linguistics Computational linguistics Semantics
119	A Gaussian Latent Variable Model for Large Margin Classiﬁcation of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der, and Lawrence K. Saul UC San Diego 1. Overview Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-03-01 20:28:42 Semi-supervised learning Support vector machine Expectation–maximization algorithm Supervised learning Mixture model Logarithm Statistics Machine learning Computational statistics
120	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification