Yasemin Altun
Yasemin Altun
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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
Support vector machine learning for interdependent and structured output spaces
I Tsochantaridis, T Hofmann, T Joachims, Y Altun
Proceedings of the twenty-first international conference on Machine learning …, 2004
Relative entropy policy search
J Peters, K Mulling, Y Altun
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1607-1612, 2010
Hidden markov support vector machines
Y Altun, I Tsochantaridis, T Hofmann
Proceedings of the 20th international conference on machine learning (ICML …, 2003
Transfer learning in brain-computer interfaces
V Jayaram, M Alamgir, Y Altun, B Scholkopf, M Grosse-Wentrup
IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016
Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
M Ciaramita, Y Altun
Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006
Multitask learning for brain-computer interfaces
M Alamgir, M Grosse–Wentrup, Y Altun
Proceedings of the thirteenth international conference on artificial …, 2010
Overcoming the lack of parallel data in sentence compression
K Filippova, Y Altun
Discovering emerging entities with ambiguous names
J Hoffart, Y Altun, G Weikum
Proceedings of the 23rd international conference on World wide web, 385-396, 2014
Unifying divergence minimization and statistical inference via convex duality
Y Altun, A Smola
International Conference on Computational Learning Theory, 139-153, 2006
Maximum margin semi-supervised learning for structured variables
Y Altun, D McAllester, M Belkin
Advances in neural information processing systems 18, 2005
Learning similarity measure for multi-modal 3D image registration
D Lee, M Hofmann, F Steinke, Y Altun, ND Cahill, B Scholkopf
2009 IEEE Conference on Computer Vision and Pattern Recognition, 186-193, 2009
Gaussian process classification for segmenting and annotating sequences
Y Altun, T Hofmann, AJ Smola
Proceedings of the twenty-first international conference on Machine learning, 4, 2004
Using conditional random fields to predict pitch accents in conversational speech
M Gregory, Y Altun
Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004
Reading comprehension programs in a statistical-language-processing class
E Charniak, Y Altun, R de Salvo Braz, B Garrett, M Kosmala, T Moscovich, ...
ANLP-NAACL 2000 Workshop: Reading Comprehension Tests as Evaluation for …, 2000
Investigating loss functions and optimization methods for discriminative learning of label sequences
Y Altun, M Johnson, T Hofmann
Proceedings of the 2003 Conference on Empirical Methods in Natural Language …, 2003
Exponential families for conditional random fields
Y Altun, A Smola, T Hofmann
arXiv preprint arXiv:1207.4131, 2012
Inferring latent task structure for multitask learning by multiple kernel learning
C Widmer, NC Toussaint, Y Altun, G Rätsch
BMC bioinformatics 11 (8), 1-8, 2010
Discriminative learning for label sequences via boosting
Y Altun, T Hofmann, M Johnson
Advances in neural information processing systems 15, 2002
Leveraging sequence classification by taxonomy-based multitask learning
C Widmer, J Leiva, Y Altun, G Rätsch
Research in Computational Molecular Biology: 14th Annual International …, 2010
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