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McAuley
Results: 248

#	Item
211	Joint Industry Committee Members: Joint Industry Committee Craig McAuley, Chairperson Add to Reading List Source URL: www.worksafesask.ca Language: English - Date: 2013-12-18 12:07:27 Business Audit Occupational safety and health Quality audit Clinical audit Safety Management Systems Auditing Risk Safety
212	Student & Parent Handbook[removed]IMMACULATE HIGH SCHOOL 73 Southern Boulevard Danbury, CT 06810 Add to Reading List Source URL: www.immaculatehs.org Language: English - Date: 2013-12-02 09:20:26 Erasmus University Rotterdam Institute for Housing and Urban Development Studies McAuley High School
213	DOC Document Add to Reading List Source URL: www.adulths.ocdsb.ca Language: English - Date: 2012-09-18 14:28:58 School counselor McAuley High School College of Alameda
214	Jure Leskovec Stanford University Including joint work with Ashton Anderson, Dan Huttenlocher, Dan Jurafsky, Jon Kleinberg, and Julian McAuley  Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2013-03-30 02:44:21 Information society Information retrieval Collective intelligence Recommender systems Collaborative filtering Stanford University Leskovec Online community Social information processing Collaboration Information science
215	Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks Jaewon Yang, Julian McAuley, Jure Leskovec Stanford University {jayang, jmcauley, jure}@cs.stanford.edu Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-01-19 23:58:19 Theoretical computer science Network theory Community structure Network analysis Directed acyclic graph Graph partition Flow network Graph Topology Graph theory Mathematics Networks
216	Image Labeling on a Network: Using Social-Network Metadata for Image Classification Julian McAuley and Jure Leskovec Stanford University [removed], [removed] Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-09-07 14:32:23 Metadata Knowledge representation Photo sharing Information retrieval Flickr Tag Exchangeable image file format Information Data Web 2.0
217	Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley, Jure Leskovec, Dan Jurafsky Stanford University Abstract—Most online reviews consist of plain-text feedback together with a single numeric sco Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2012-11-09 01:36:44 Natural language processing Learning Beer culture Beer rating Sentiment analysis Grammatical aspect Semi-supervised learning Supervised learning Support vector machine Machine learning Artificial intelligence Statistics
218	From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews Julian McAuley Stanford University Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2013-03-17 19:29:26 Infrastructure optimization User Social information processing Computing Science Information science Recommender system Beer rating Human–computer interaction
219	Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text Julian McAuley Stanford University Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-01-19 23:41:37 Electronic commerce Information science Science Measurement Collaborative filtering Social information processing Latent Dirichlet allocation Recommender system Amazon.com Statistical natural language processing Collective intelligence Review websites
220	Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-03-02 10:25:32 Regression analysis Categorical data Maximum likelihood Expectation–maximization algorithm Logistic regression Entropy Sequence Statistics Statistical theory Estimation theory

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