@inproceedings{joachims99svmlight,
	title = {Making Large-Scale {SVM} Learning Practical},
	author = {T. Joachims},
	booktitle = {Advances in Kernel Methods - Support Vector Learning},
	editor = {B. Schölkopf and C. Burges and A. Smola},
	publisher = {MIT Press, Cambridge, MA, USA},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2603f233808e057043606aa2af32ebc9f/sb3000},
	keywords = {svm }
}

@inproceedings{joachims01statistical,
	title = {A Statistical Learning Model of Text Classification for Support Vector Machines},
	author = {Thorsten Joachims},
	booktitle = {Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2001), September 9-13, 2001, New Orleans, LA, USA},
	editor = {W. Bruce Croft and David J. Harper and Donald H. Kraft and Justin Zobel},
	pages = {128-136},
	publisher = {ACM Press, New York, NY, USA},
	url = {http://dx.doi.org/10.1145/383952.383974},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/2d1855da3f260de3c08baae3f0c61f142/sb3000},
	isbn = {1-58113-331-6}, date = {2002-12-06},
	keywords = {text-classification }
}

@inproceedings{morik99combining,
	title = {Combining Statistical Learning with a Knowledge-Based Approach - a Case Study in Intensive Care Monitoring},
	author = {Katharina Morik and Peter Brockhausen and Thorsten Joachims},
	booktitle = {Proceedings of the 16th International Conference on Machine Learning (ICML 1999), June 27-30, 1999, Bled, Slovenia},
	editor = {Ivan Bratko and Saso Dzeroski},
	pages = {268--277},
	publisher = {Morgan-Kaufman Publishers, San Francisco, CA, USA},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2b5964f5e5ff5364ad8f68a3f2d431479/sb3000},
	keywords = {svm }
}

@inproceedings{tsochantaridis04structuredsvm,
	title = {Support Vector Machine Learning for Interdependent and Structured Output Spaces},
	address = {Banff, Canada},
	author = {I. Tsochantaridis and T. Hofmann and T. Joachims and Y. Altun},
	booktitle = {Proceedings of the 21st International Conference on Machine Learning (ICML 2004), July 4-8, 2004, Banff, Alberta, Canada},
	editor = {Carla E. Brodley},
	note = {Paper No. 104.},
	publisher = {ACM Press, New York, NY, USA},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/2db99537b2290697548db92c3892cfac8/sb3000},
	keywords = {structured-output svm }
}

@inproceedings{joachims1997rocchio,
	title = {A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.},
	author = {Thorsten Joachims},
	booktitle = {ICML},
	crossref = {conf/icml/1997},
	editor = {Douglas H. Fisher},
	pages = {143-151},
	publisher = {Morgan Kaufmann},
	url = {http://dblp.uni-trier.de/db/conf/icml/icml1997.html#Joachims97},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/2dfa99d567392038673882c932153053c/jil},
	isbn = {1-55860-486-3}, date = {2002-12-04},
	keywords = {bayes estimator laplace probabilistic rocchio tfidf }
}

@inproceedings{radlinski05,
	title = {Query chains: learning to rank from implicit feedback},
	address = {New York, NY, USA},
	author = {Filip Radlinski and Thorsten Joachims},
	booktitle = {KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining},
	pages = {239--248},
	publisher = {ACM Press},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/21dd9e335795fc4af50d27fda749f687c/mumas},
	description = {Some relevant bibliography},
	location = {Chicago, Illinois, USA}, isbn = {1-59593-135-X},
	keywords = {imported }
}

@inproceedings{joachims1999,
	title = {Transductive Inference for Text Classification using Support Vector Machines},
	address = {Bled, SL},
	author = {Thorsten Joachims},
	booktitle = {Proceedings of {ICML}-99, 16th International Conference on Machine Learning},
	editor = {Ivan Bratko and Saso Dzeroski},
	pages = {200--209},
	publisher = {Morgan Kaufmann Publishers, San Francisco, US},
	url = {http://www.joachims.org/publications/joachims_99c.ps.gz},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/jil},
	abstract = {This paper introduces Transductive Support Vector Machines (TSVMs) for text classifi­ cation. While regular Support Vector Ma­ chines (SVMs) try to induce a general deci­ sion function for a learning task, Transduc­ tive Support Vector Machines take into ac­ count a particular test set and try to mini­ mize misclassifications of just those particu­ lar examples. The paper presents an anal­ ysis of why TSVMs are well suited for text classification. These theoretical findings are supported by experiments on three test col­ lections. The experiments show substantial improvements over inductive methods, espe­ cially for small training sets, cutting the num­ ber of labeled training examples down to a twentieth on some tasks. This work also pro­ poses an algorithm for training TSVMs effi­ ciently, handling 10,000 examples and more.},
	pdf = {joachims99.pdf}, lastname = {Joachims}, lastdatemodified = {2005-08-06}, read = {notread}, own = {own},
	keywords = {svm svmlight transductive }
}

@inproceedings{joachims2006a,
	title = {Training linear SVMs in linear time.},
	author = {Thorsten Joachims},
	booktitle = {KDD},
	crossref = {conf/kdd/2006},
	editor = {Tina Eliassi-Rad and Lyle H. Ungar and Mark Craven and Dimitrios Gunopulos},
	pages = {217-226},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/kdd/kdd2006.html#Joachims06},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2b855be60a3903e0af45ca42fd20c2732/jil},
	date = {2006-10-05}, ee = {http://doi.acm.org/10.1145/1150402.1150429}, isbn = {1-59593-339-5},
	keywords = {linear optimierung optimization reformulation svm }
}

@inproceedings{joachims98text,
	title = {Text categorization with support vector machines: learning with many
    relevant features},
	address = {Chemnitz, DE},
	author = {Thorsten Joachims},
	booktitle = {Proceedings of {ECML}-98, 10th European Conference on Machine Learning},
	editor = {Claire N{\'{e}}dellec and C{\'{e}}line Rouveirol},
	publisher = {Springer Verlag, Heidelberg, DE},
	url = {citeseer.nj.nec.com/joachims97text.html},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/2619a33e5e90fe7cb6c28dcdcf217440b/kdubiq},
	description = {KDubiq Blueprint},
	groupsearch = {0},
	keywords = {imported }
}

@inproceedings{joachims99transductive,
	title = {Transductive Inference for Text Classification using Support Vector
    Machines},
	address = {Bled, SL},
	author = {T. Joachims},
	booktitle = {Proceedings of ICML-99, 16th International Conference on Machine
    Learning},
	editor = {Ivan Bratko and Saso Dzeroski},
	pages = {200--209},
	publisher = {Morgan Kaufmann Publishers, San Francisco, US},
	url = {citeseer.nj.nec.com/joachims99transductive.html},
	year = {1999},
	biburl = {http://www.bibsonomy.org/bibtex/2ce8c12834b7c80acbeaaa7e1699e9529/kdubiq},
	description = {KDubiq Blueprint},
	groupsearch = {0},
	keywords = {imported }
}