Search results

Journal Article (2)

Journal Article
Parker, C.; Altun, Y.; Tadepalli, P.: Guest editorial: special issue on structured prediction. Machine Learning 77 (2-3), pp. 161 - 164 (2009)
Journal Article
Tsochantaridis, I.; Joachims, T.; Hofmann, T.; Altun, Y.: Large Margin Methods for Structured and Interdependent Output Variables. The Journal of Machine Learning Research 6, pp. 1453 - 1484 (2005)

Book Chapter (4)

Book Chapter
Charpiat, G.; Bezrukov, I.; Hofmann, M.; Altun, Y.; Schölkopf, B.: Machine Learning Methods for Automatic Image Colorization. In: Computational Photography: Methods and Applications, pp. 395 - 418 (Ed. Lukac, R.). CRC Press, Boca Raton, FL, USA (2011)
Book Chapter
Altun, Y.: Large Margin Methods for Part‐of‐Speech Tagging. In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, 9, pp. 139 - 158 (Eds. Keshet, J.; Bengio, S.). Wiley, Hoboken, NJ, USA (2009)
Book Chapter
Altun, Y.; Hofmann, T.; Tsochantaridis, I.: Support Vector Machine Learning for Interdependent and Structured Output Spaces. In: Predicting Structured Data, pp. 85 - 104 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
Book Chapter
Altun, Y.; Smola, A.: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, pp. 283 - 300 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

Conference Paper (16)

Conference Paper
Peters, J.; Mülling, K.; Seldin, Y.; Altun, Y.: Reinforcement Learning with Bounded Information Loss. In: AIP Conference Proceedings, Vol. 1305, pp. 365 - 372 (Eds. Mohammad-Djafari, A.; Bercher, J.-F.; Bessière, P.). 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), Chamonix, France, July 04, 2010 - July 09, 2010. American Institute of Physics, Woodbury, NY, USA (2011)
Conference Paper
Erkan, A.; Kroemer, O.; Detry, R.; Altun, Y.; Piater, J.; Peters, J.: Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), pp. 1586 - 1591. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan, October 18, 2010 - October 22, 2010. IEEE, Piscataway, NJ, USA (2010)
Conference Paper
Erkan, A.; Camps-Valls, G.; Altun, Y.: Semi-supervised Remote Sensing Image Classification via Maximum Entropy. In: 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), pp. 313 - 318. 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), Kittilä, Finland, August 29, 2010 - September 01, 2010. IEEE, Piscataway, NJ, USA (2010)
Conference Paper
Widmer, C.; Toussaint, N.; Altun, Y.; Kohlbacher, O.; Rätsch, G.: Novel Machine Learning Methods for MHC Class I Binding Prediction. In: PRIB 2010: Pattern Recognition in Bioinformatics, pp. 98 - 109 (Eds. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, September 22, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)
Conference Paper
Peters, J.; Mülling, K.; Altun, Y.: Relative Entropy Policy Search. In: Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10), pp. 1607 - 1612 (Eds. Fom, M.; Poole, D.). Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10), Atlanta, GA, USA, July 11, 2010 - July 15, 2010. AAAI Press, Menlo Park, CA, USA (2010)
Conference Paper
Alamgir, M.; Grosse-Wentrup, M.; Altun, Y.: Multitask Learning for Brain-Computer Interfaces. In: JMLR Workshop and Conference Proceedings, Vol. 9, pp. 17 - 24 (Eds. Teh, Y.; Titterington, M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, May 13, 2010 - May 15, 2010. JMLR, Cambridge, MA, USA (2010)
Conference Paper
Erkan, A.; Altun, Y.: Semi-supervised Learning via Generalized Maximum Entropy. In: JMLR Workshop and Conference Proceedings, Vol. 9, pp. 209 - 216 (Eds. Teh, Y.; Titterington, M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, May 13, 2010 - May 15, 2010. JMLR, Cambridge, MA, USA (2010)
Conference Paper
Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, pp. 522 - 534 (Ed. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, April 25, 2010 - April 28, 2010. Springer, Berlin, Germany (2010)
Conference Paper
Lee, D.; Hofmann, M.; Steinke, F.; Altun, Y.; Cahill, N.; Schölkopf, B.: Learning the Similarity Measure for Multi-Modal 3D Image Registration. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 186 - 193. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami, FL, USA, June 20, 2009 - June 25, 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
Conference Paper
Altun, Y.; Hofmann, T.; Smola, A.: Gaussian Process Classification for Segmenting and Annotating Sequences. In: ICML '04: Twenty-First International Conference on Machine Learning, 4, pp. 25 - 32 (Eds. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, July 04, 2004 - July 08, 2004. ACM Press, New York, USA (2004)
Conference Paper
Altun, Y.; Smola, A.; Hofmann, T.: Exponential Families for Conditional Random Fields. In: UAI '04: 20th Annual Conference on Uncertainty in Artificial Intelligence, pp. 2 - 9 (Eds. Meek, C.; Chickering, M.; Halpern, J.). 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, July 07, 2004 - July 11, 2004. ACM Press, New York, NY, USA (2004)
Conference Paper
Gregory, M.; Altun, Y.: Using Conditional Random Fields to Predict Pitch Accent in Conversational Speech. In: 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), pp. 677 - 684 (Eds. Scott, D.; Daelemans, W.; Walker, M.). 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), Barcelona, Spain, July 21, 2004 - July 26, 2004. Association for Computational Linguistics, East Stroudsburg, PA, USA (2004)
Conference Paper
Tsochantaridis, I.; Hofmann, T.; Joachims, T.; Altun, Y.: Support vector machine learning for interdependent and structured output spaces. In: ICML '04: Twenty-first International Conference on Machine Learning, 104, pp. 823 - 830 (Eds. Greiner, R.; Schuurmans, D.). Twenty-first International Conference on Machine Learning (ICML 2004), Banff, Canada, July 04, 2004 - July 08, 2004. ACM Press, New York, NY, USA (2004)
Conference Paper
Altun, Y.; Hofmann, T.: Large Margin Methods for Label Sequence Learning. In: 8th European Conference on Speech Communication and Technology (EUROSPEECH 2003), pp. 993 - 996. 8th European Conference on Speech Communication and Technology (EUROSPEECH 2003), Genf, Switzerland, September 01, 2003 - September 04, 2003. International Speech Communication Association, Bonn, Germany (2003)
Go to Editor View