BibSonomy bookmarks for /user/hothohttp://www.bibsonomy.org/rss/user/hothoBibSonomy RSS Feed for /user/hothoFlickr: GeoTagging Flickrhttp://www.flickr.com/groups/geotagging/hotho2008-05-14T00:20:37+02:002.0flickrfolksonomygeogeotagginggpstaggingtoolswebPowersethttp://www.powerset.com/hotho2008-05-12T20:45:46+02:00enginenlpsearchsemanticsMySpace joins the 'semantic' web - Web User Newshttp://www.webuser.co.uk/news/news.php?id=255816hotho2008-05-12T11:31:16+02:00datalinkingmyspacesemanticwebKDubiq Final Symposium : Main - Program browsehttp://wiki.kdubiq.org/kdubiqFinalSymposium/index.php/Main/Programhotho2008-05-09T14:48:36+02:00finalkdubiqmeetingprogramworkshopCrowdVine: Create your own social networkhttp://ssm-2008.crowdvine.com/homehotho2008-05-09T08:25:51+02:002008networksocialworkshopCIKM 2008 Workshop on Search in Social Media (SSM 2008)http://ir.mathcs.emory.edu/SSM2008/hotho2008-05-09T08:25:31+02:002008cikmmediasearchsocialworkshopECML PKDD Discovery Challenge 2008This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.http://www.kde.cs.uni-kassel.de/ws/rsdc08/hotho2008-05-07T18:19:42+02:002008bibsonomychallengediscoverydmecmlmlpkddThis year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag <span class="info">...<span>This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.</span></span>Thesis Neminis » Support Vector Clustering Code@inproceedings{cone2006,
author = {Sei-Hyung Lee and Karen M. Daniels},
Booktitle = {Proceedings of 6th SIAM Conference on Data Mining},
Date-Added = {2007-04-29 16:58:13 +0200},
Date-Modified = {2007-06-19 18:52:22 +0200},
Keywords = {SVM, clustering},
Month = {May},
Pages = {484–488},
Title = {Cone Cluster Labeling for Support Vector Clustering},
Url = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf},
Year = {2006},
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}http://thesis.neminis.org/2007/12/03/support-vector-clustering-code/hotho2008-05-06T09:43:38+02:00clusteringcodemlsvm@inproceedings{cone2006,
author = {Sei-Hyung Lee and Karen M. Daniels},
Booktitle = {Proceedings of 6th SIAM Conference on Data Mining},
Dat<span class="info">...<span>@inproceedings{cone2006,
author = {Sei-Hyung Lee and Karen M. Daniels},
Booktitle = {Proceedings of 6th SIAM Conference on Data Mining},
Date-Added = {2007-04-29 16:58:13 +0200},
Date-Modified = {2007-06-19 18:52:22 +0200},
Keywords = {SVM, clustering},
Month = {May},
Pages = {484–488},
Title = {Cone Cluster Labeling for Support Vector Clustering},
Url = {http://www.siam.org/meetings/sdm06/proceedings/046lees.pdf},
Year = {2006},
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}</span></span>The Perl CD Bookshelfhttp://www.unix.org.ua/orelly/perl/hotho2008-05-02T21:07:31+02:00bookfreelearningperlprogrammingUEA Computational Biology Laboratoryhttp://theoval.sys.uea.ac.uk/~gcc/svm/toolbox/hotho2008-05-01T14:15:28+02:00matlabmlsvm