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Similarity learning
Results: 228

#	Item
151	Large-Scale Category Structure Aware Image Categorization Bin Zhao School of Computer Science Carnegie Mellon University Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:48 Semantics California Institute of Technology Caltech 101 One-shot learning Semantic similarity Support vector machine Prototype theory K-nearest neighbor algorithm Statistics Artificial intelligence Statistical classification
152	Similarity Estimation using Bayes Ensembles Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, and Marisa Thoma Ludwig-Maximilians-Universit¨ at M¨ unchen Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-04-14 08:41:32 Cluster analysis Cognition Similarity Mahalanobis distance K-nearest neighbor algorithm Supervised learning Space Symmetry Mixture model Statistics Machine learning Multivariate statistics
153	Microsoft Word - 20080810_relationExtraction_IDEAL_camera.rtf Add to Reading List Source URL: semanticweb.kaist.ac.kr Language: English - Date: 2011-04-08 01:56:39 Machine learning Natural language processing Lexical semantics Semantic similarity Support vector machine Naive Bayes classifier Hyponymy Binary classification Feature selection Statistics Statistical classification Computational linguistics
154	The Distribution of Mood An Exploration of Distributional Compositions in Sentiment Classification Jimmy Callin Add to Reading List Source URL: stp.lingfil.uu.se Language: English - Date: 2014-06-09 02:13:04 Computational linguistics Semantics Machine learning Language acquisition Distributional hypothesis Bag of words model Semantic similarity Sentiment analysis Co-occurrence Linguistics Natural language processing Science
155	Learning Similarity Metrics for Event Identification in Social Media Hila Becker Mor Naaman Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2009-11-30 22:33:13 Multivariate statistics Natural language processing Cluster analysis Geostatistics Hierarchical clustering K-means clustering BIRCH Document clustering Information retrieval Statistics Data mining Machine learning
156	Learning Ontologies to Improve Text Clustering and Classification Stephan Bloehdorn1 , Philipp Cimiano1 , and Andreas Hotho2 1 2 Add to Reading List Source URL: www.kde.cs.uni-kassel.de Language: English - Date: 2008-02-28 04:10:32 Knowledge representation Information Semantic Web Natural language processing Information science Ontology Semantic similarity Cluster analysis WordNet Science Computational linguistics Statistics
157	Identifying Similarities & Differences via Comparing Purpose: The purpose of having students identify similarities and differences is to help them understand an idea or concept more deeply and to be able to apply the kno Add to Reading List Source URL: ftcsc.ag.iastate.edu Language: English - Date: 2004-02-26 18:47:31 Educational psychology Distance education Cognition Similarity Analogy Recall E-learning Education Mind Psychology
158	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan† Avrim Blum‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-10-31 19:53:49 Hierarchical clustering K-means clustering Single-linkage clustering K-medians clustering Document clustering Consensus clustering Machine learning Data stream clustering Statistics Cluster analysis Correlation clustering
159	Secondary Mathematics Unit 5: Building mathematical resilience: similarity and congruency in triangles Add to Reading List Source URL: www.teindia.nic.in Language: English - Date: 2014-03-18 05:10:38 Motivation Positive psychology Psychological resilience Mathematics New Math E-learning Modern elementary mathematics Education Mathematics education Education reform
160	Learning Disjointness for Debugging Mappings between Lightweight Ontologies Christian Meilicke1 , Johanna V¨olker2 , Heiner Stuckenschmidt1 1 Computer Science Institute Add to Reading List Source URL: publications.wim.uni-mannheim.de Language: English - Date: 2012-02-13 18:02:45 Science Information science Knowledge representation Knowledge engineering Lightweight ontologies Description logic Semantic similarity WordNet Semantic integration Ontology Semantic Web Information

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