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Results: 728

#	Item
381	Watershed-Based Unsupervised Clustering Manuele Bicego, Marco Cristani, Andrea Fusiello, and Vittorio Murino Dipartimento di Informatica, Universit` a di Verona Ca’ Vignal 2, Strada Le Grazie 15, 37134 Verona, Italia { Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:33 Data mining Geostatistics K-means clustering Segmentation Unsupervised learning Watershed Determining the number of clusters in a data set Consensus clustering Statistics Cluster analysis Machine learning
382	Self-Confirming Equilibrium and the Lucas Critique1 Drew Fudenberg and David K. Levine2 First Version: January 14, 2007, This Version: August 6, 2007 Prepared for the Conference in Honor of Robert E. Lucas Jr. Abstract: Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2007-08-06 13:08:05 Self-confirming equilibrium Solution concept Nash equilibrium Rationalizability David K. Levine Trembling hand perfect equilibrium Subgame perfect equilibrium Macroeconomic model Information set Game theory Problem solving Economics
383	LNAI[removed]Uncertain Data Mining: An Example in Clustering Location Data Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2006-10-18 01:36:35 Cluster analysis Data mining Geostatistics Fuzzy clustering K-means clustering Single-linkage clustering Principal component analysis Consensus clustering Determining the number of clusters in a data set Statistics Multivariate statistics Data analysis
384	Carrot2 and Language Properties in Web Search Results Clustering Jerzy Stefanowski and Dawid Weiss Institute of Computing Science, Pozna´ n University of Technology, ul. Piotrowo 3A, 60–965 Pozna´ Add to Reading List Source URL: project.carrot2.org Language: English - Date: 2015-01-09 08:48:15 Data mining Geostatistics Carrot2 Document clustering Hierarchical clustering K-means clustering Stemming Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
385	Discovering Video Clusters from Visual Features and Noisy Tags Arash Vahdat, Guang-Tong Zhou, and Greg Mori School of Computing Science, Simon Fraser University, Canada {avahdat,gza11,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2014-06-23 15:27:44 Data mining Geostatistics Machine learning K-means clustering Hierarchical clustering Spectral clustering Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
386	Superstition and Rational Learning1 Drew Fudenberg and David K. Levine2 This version: [removed]First version: [removed]Abstract: We argue that some but not all superstitions can persist when learning is rational and players Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2005-07-18 17:35:40 Nash equilibrium Subgame Strategy Information set Bayesian game Game theory Extensive-form game Solution concept
387	Program Details will provide the following: a) Round-trip air tickets (discount economy class) to and from the nearest international airport from home residence; b) Airport tax, foreign travel tax; c) Set amount of in-k Add to Reading List Source URL: www.jpf.go.jp Language: English - Date: 2014-09-23 21:05:41 Japan Foundation Japanese culture Japanese language Linguistics Japanese language education in Mongolia Japanese language education in India English-language education Culture Japan
388	®¯°±²³³´µ¶±·¸´¹º¸»¼¼®··¶±²®· ©1ª« 747 ¬4 187L GHII 0 62J 63K378 L374 07M54134 N0O Add to Reading List Source URL: www.firstresponseaustralia.com.au Language: English - Date: 2014-02-24 02:37:04 POSIX Portable character set Classical cipher
389	AMULET2e Jim Garside Department of Computer Science, The University of Manchester, Oxford Road, Manchester, M13 9PL, U.K. http://www.cs.man.ac.uk/amulet/ [removed] Add to Reading List Source URL: www.hotchips.org Language: English - Date: 2013-07-27 22:47:54 Instruction set architectures ARM architecture Processor register Microprocessor Computer architecture Computer hardware Electronic engineering
390	A Segment-based Approach To Clustering Multi-Topic Documents Andrea Tagarelli ∗ George Karypis † Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 2012-08-16 12:29:04 Machine learning Cluster analysis Data analysis Geostatistics Document clustering Fuzzy clustering K-means clustering Document classification Determining the number of clusters in a data set Statistics Computational statistics Data mining

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