Thorsten Joachims
Thorsten Joachims
Professor of Computer Science, Cornell University
Verified email at cs.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Text categorization with support vector machines: Learning with many relevant features
T Joachims
European Conference on Machine Learning (ECML), 137-142, 1998
113531998
Making large-scale SVM learning practical
T Joachims
Technical report, 1998
87831998
Optimizing search engines using clickthrough data
T Joachims
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
49692002
Transductive inference for text classification using support vector machines
T Joachims
International Conference on Machine Learning (ICML), 200-209, 1999
36791999
Large margin methods for structured and interdependent output variables.
I Tsochantaridis, T Joachims, T Hofmann, Y Altun, Y Singer
Journal of machine learning research 6 (9), 2005
25352005
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms.
T Joachims
Kluwer Academic Publisher, 2002
2517*2002
Training linear SVMs in linear time
T Joachims
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
23182006
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.
T Joachims
International Conference on Machine Learning (ICML), 1997
20861997
Working set selection using second order information for training support vector machines.
RE Fan, PH Chen, CJ Lin, T Joachims
Journal of machine learning research 6 (12), 2005
20532005
Support vector machine learning for interdependent and structured output spaces
I Tsochantaridis, T Hofmann, T Joachims, Y Altun
International Conference on Machine Learning (ICML), 104, 2004
17092004
Accurately interpreting clickthrough data as implicit feedback
T Joachims, L Granka, B Pan, H Hembrooke, G Gay
ACM SIGIR Forum 51 (1), 4-11, 2017
16262017
Cutting-plane training of structural SVMs
T Joachims, T Finley, CNJ Yu
Machine learning 77 (1), 27-59, 2009
12752009
Webwatcher: A tour guide for the world wide web
T Joachims, D Freitag, T Mitchell
IJCAI (1), 770-777, 1997
12571997
A support vector method for multivariate performance measures
T Joachims
Proceedings of the 22nd international conference on Machine learning, 377-384, 2005
9682005
Webwatcher: A learning apprentice for the world wide web
R Armstrong, D Freitag, T Joachims, T Mitchell
AAAI Spring symposium on Information gathering from Heterogeneous …, 1995
9331995
Eye-tracking analysis of user behavior in WWW search
LA Granka, T Joachims, G Gay
Proceedings of the 27th annual international ACM SIGIR conference on …, 2004
8732004
Transductive learning via spectral graph partitioning
T Joachims
International Conference on Machine Learning (ICML) 20 (1), 290, 2003
8352003
A support vector method for optimizing average precision
Y Yue, T Finley, F Radlinski, T Joachims
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
7822007
Learning structural svms with latent variables
CNJ Yu, T Joachims
Proceedings of the 26th annual international conference on machine learning …, 2009
7682009
In Google we trust: Users’ decisions on rank, position, and relevance
B Pan, H Hembrooke, T Joachims, L Lorigo, G Gay, L Granka
Journal of computer-mediated communication 12 (3), 801-823, 2007
7182007
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