Suchergebnisse

Zeitschriftenartikel (2)

  1. 1.
    Zeitschriftenartikel
    Parker, C.; Altun, Y.; Tadepalli, P.: Guest editorial: special issue on structured prediction. Machine Learning 77 (2-3), S. 161 - 164 (2009)
  2. 2.
    Zeitschriftenartikel
    Tsochantaridis, I.; Joachims, T.; Hofmann, T.; Altun, Y.: Large Margin Methods for Structured and Interdependent Output Variables. The Journal of Machine Learning Research 6, S. 1453 - 1484 (2005)

Buchkapitel (4)

  1. 3.
    Buchkapitel
    Charpiat, G.; Bezrukov, I.; Hofmann, M.; Altun, Y.; Schölkopf, B.: Machine Learning Methods for Automatic Image Colorization. In: Computational Photography: Methods and Applications, S. 395 - 418 (Hg. Lukac, R.). CRC Press, Boca Raton, FL, USA (2011)
  2. 4.
    Buchkapitel
    Altun, Y.: Large Margin Methods for Part‐of‐Speech Tagging. In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, S. 139 - 158 (Hg. Keshet, J.; Bengio, S.). Wiley, Hoboken, NJ, USA (2009)
  3. 5.
    Buchkapitel
    Altun, Y.; Smola, A.: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, S. 283 - 300 (Hg. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
  4. 6.
    Buchkapitel
    Altun, Y.; Hofmann, T.; Tsochantaridis, I.: Support Vector Machine Learning for Interdependent and Structured Output Spaces. In: Predicting Structured Data, S. 85 - 104 (Hg. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

Konferenzbeitrag (16)

  1. 7.
    Konferenzbeitrag
    Peters, J.; Mülling, K.; Seldin, Y.; Altun, Y.: Reinforcement Learning with Bounded Information Loss. In: AIP Conference Proceedings (Hg. 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, 04. Juli 2010 - 09. Juli 2010. American Institute of Physics, Woodbury, NY, USA (2011)
  2. 8.
    Konferenzbeitrag
    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), S. 1586 - 1591. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan, 18. Oktober 2010 - 22. Oktober 2010. IEEE, Piscataway, NJ, USA (2010)
  3. 9.
    Konferenzbeitrag
    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), S. 313 - 318. 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), Kittilä, Finland, 29. August 2010 - 01. September 2010. IEEE, Piscataway, NJ, USA (2010)
  4. 10.
    Konferenzbeitrag
    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, S. 98 - 109 (Hg. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, 22. September 2010 - 24. September 2010. Springer, Berlin, Germany (2010)
  5. 11.
    Konferenzbeitrag
    Peters, J.; Mülling, K.; Altun, Y.: Relative Entropy Policy Search. In: Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10), S. 1607 - 1612 (Hg. Fom, M.; Poole, D.). Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10), Atlanta, GA, USA, 11. Juli 2010 - 15. Juli 2010. AAAI Press, Menlo Park, CA, USA (2010)
  6. 12.
    Konferenzbeitrag
    Alamgir, M.; Grosse-Wentrup, M.; Altun, Y.: Multitask Learning for Brain-Computer Interfaces. In: JMLR Workshop and Conference Proceedings, Bd. 9, S. 17 - 24 (Hg. Teh, Y.; Titterington, M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, 13. Mai 2010 - 15. Mai 2010. JMLR, Cambridge, MA, USA (2010)
  7. 13.
    Konferenzbeitrag
    Erkan, A.; Altun, Y.: Semi-supervised Learning via Generalized Maximum Entropy. In: JMLR Workshop and Conference Proceedings, Bd. 9, S. 209 - 216 (Hg. Teh, Y.; Titterington, M.). Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010), Chia Laguna Resort, Italy, 13. Mai 2010 - 15. Mai 2010. JMLR, Cambridge, MA, USA (2010)
  8. 14.
    Konferenzbeitrag
    Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, S. 522 - 534 (Hg. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, 25. April 2010 - 28. April 2010. Springer, Berlin, Germany (2010)
  9. 15.
    Konferenzbeitrag
    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, S. 186 - 193. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), Miami, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)
  10. 16.
    Konferenzbeitrag
    Altun, Y.; Smola, A.; Hofmann, T.: Exponential Families for Conditional Random Fields. In: UAI '04: 20th Annual Conference on Uncertainty in Artificial Intelligence, S. 2 - 9 (Hg. Meek, C.; Chickering, M.; Halpern, J.). 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, 07. Juli 2004 - 11. Juli 2004. ACM Press, New York, NY, USA (2004)
  11. 17.
    Konferenzbeitrag
    Altun, Y.; Hofmann, T.; Smola, A.: Gaussian Process Classification for Segmenting and Annotating Sequences. In: ICML '04: Twenty-First International Conference on Machine Learning, S. 25 - 32 (Hg. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, 04. Juli 2004 - 08. Juli 2004. ACM Press, New York, USA (2004)
  12. 18.
    Konferenzbeitrag
    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), S. 677 - 684 (Hg. Scott, D.; Daelemans, W.; Walker, M.). 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), Barcelona, Spain, 21. Juli 2004 - 26. Juli 2004. Association for Computational Linguistics, East Stroudsburg, PA, USA (2004)
  13. 19.
    Konferenzbeitrag
    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, S. 823 - 830 (Hg. Greiner, R.; Schuurmans, D.). Twenty-first International Conference on Machine Learning (ICML 2004), Banff, Canada, 04. Juli 2004 - 08. Juli 2004. ACM Press, New York, NY, USA (2004)
  14. 20.
    Konferenzbeitrag
    Altun, Y.; Hofmann, T.; Johnson, M.: Discriminative Learning for Label Sequences via Boosting. In: Advances in Neural Information Processing Systems 15, S. 977 - 984 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)
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