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Yasemin Altun, Dr. (Brown University, USA)

Adresse: Spemannstr. 38
72076 Tübingen
Raum Nummer: 223

 

Bild von Altun, Yasemin, Dr. (Brown University, USA)

Yasemin Altun

Position: Seniorwissenschaftler  Abteilung: 

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Artikel (2):

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

Beiträge zu Tagungsbänden (22):

Widmer C, Toussaint NC, Altun Y und Rätsch G (Oktober-2010) Inferring latent task structure for Multitask Learning by Multiple Kernel Learning, NIPS 2009 Workshop on Machine Learning in Computational Biology (MLCB 2009), BioMed Central, London, UK, BMC Bioinformatics, 11(Supplement 8), 1-8.
Erkan AN, Kroemer O, Detry R, Altun Y, Piater J und Peters J (Oktober-2010) Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), IEEE, Piscataway, NJ, USA, 1586-1591.
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Widmer C, Toussaint NC, Altun Y, Kohlbacher O und Rätsch G (September-2010) Novel Machine Learning Methods for MHC Class I Binding Prediction In: Pattern Recognition in Bioinformatics, , 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Springer, Berlin, Germany, 98-109, Series: Lecture Notes in Computer Science ; 6282.
Erkan AN, Camps-Valls G und Altun Y (September-2010) Semi-supervised Remote Sensing Image Classification via Maximum Entropy, 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), IEEE, Piscataway, NJ, USA, 313-318.
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Peters J, Mülling K, Seldin Y und Altun Y (Juli-2010) Reinforcement Learning with Bounded Information Loss, 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), American Institute of Physics, Woodbury, NY, USA, 365-372, Series: AIP Conference Proceedings ; 1305.
Peters J, Mülling K und Altun Y (Juli-2010) Relative Entropy Policy Search, Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10), AAAI Press, Menlo Park, CA, USA, 1607-1612.
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Alamgir M, Grosse-Wentrup M und Altun Y (Mai-2010) Multitask Learning for Brain-Computer Interfaces, Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), International Machine Learning Society, Madison, WI, USA, 17-24, Series: JMLR Workshop and Conference Proceedings ; 9.
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Erkan AN und Altun Y (Mai-2010) Semi-supervised Learning via Generalized Maximum Entropy, Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), International Machine Learning Society, Madison, WI, USA, 209-216, Series: JMLR Workshop and Conference Proceedings ; 9.
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Widmer C, Leiva J, Altun Y und Rätsch G (April-2010) Leveraging sequence classification by taxonomy-based multitask learning In: Research in Computational Molecular Biology, , 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Springer, Berlin, Germany, 522-534, Series: Lecture Notes in Computer Science ; 6044.
Lee D, Hofmann M, Steinke F, Altun Y, Cahill ND und Schölkopf B (Juni-2009) Learning the Similarity Measure for Multi-Modal 3D Image Registration, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 186-193.
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Le QV, Smola AJ, Gärtner T und Altun Y (September-2006) Transductive Gaussian Process Regression with Automatic Model Selection In: Machine Learning: ECML 2006, , 17th European Conference on Machine Learning, Springer, Berlin, Germany, 306-317, Series: Lecture Notes in Computer Science ; 4212.
Ciaramita M und Altun Y (Juli-2006) Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger, 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Association for Computational Linguistics, Stroudsburg, PA, USA, 594-602.
Altun Y und Smola AJ (Juni-2006) Unifying Divergence Minimization and Statistical Inference Via Convex Duality In: Learning Theory, , 19th Annual Conference on Learning Theory (COLT 2006), Springer, Berlin, Germany, 139-153, Series: Lecture Notes in Computer Science ; 4005.
Altun Y, McAllester DA und Belkin M (Mai-2006) Maximum Margin Semi-Supervised Learning for Structured Variables In: Advances in neural information processing systems 18, , Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 33-40.
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Altun Y, Smola AJ und Hofmann T (Juli-2004) Exponential Families for Conditional Random Fields, 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Morgan Kaufmann, San Francisco, CA, USA, 2-9.
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Altun Y, Hofmann T und Smola AJ (Juli-2004) Gaussian Process Classification for Segmenting and Annotating Sequences, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, USA, 4.
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Tsochantaridis I, Hofmann T, Joachims T und Altun Y (Juli-2004) Support vector machine learning for interdependent and structured output spaces, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, NY, USA, 104.
Gregory M und Altun Y (Juli-2004) Using Conditional Random Fields to Predict Pitch Accent in Conversational Speech, 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), ACL, East Stroudsburg, PA, USA, 677-684.
Altun Y, Hofmann T und Johnson M (Oktober-2003) Discriminative Learning for Label Sequences via Boosting In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 977-984.
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Altun Y und Hofmann T (September-2003) Large Margin Methods for Label Sequence Learning, 8th European Conference on Speech Communication and Technology (EuroSpeech 2003), International Speech Communication Association, Bonn, Germany, 993-996.
Altun Y, Tsochantaridis I und Hofmann T (August-2003) Hidden Markov Support Vector Machines, Twentieth International Conference on Machine Learning (ICML 2003), AAAI Press, Menlo Park, CA, USA, 3-10.
Altun Y, Johnson M und Hofmann T (Juli-2003) Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences, Conference on Empirical Methods in Natural Language Processing (EMNLP 2003), ACL, East Stroudsburg, PA, USA, 145-152.

Beiträge zu Büchern (5):

Charpiat G, Bezrukov I, Hofmann M, Altun Y und Schölkopf B: Machine Learning Methods for Automatic Image Colorization, 395-418. In: Computational Photography: Methods and Applications, (Ed) R. Lukac, CRC Press, Boca Raton, FL, USA, (Oktober-2010).
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Altun Y: Large Margin Methods for Part of Speech Tagging, 141-160. In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, (Ed) J. Keshet, Wiley, Chichester, UK, (Januar-2009).
Altun Y: Large Margin Methods for Part-of-Speech Tagging, 139-157. In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, (Ed) J. Keshet, Wiley, Chichester, UK, (Januar-2009).
Altun Y und Smola AJ: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces, 283-300. In: Predicting Structured Data, (Ed) G. H. BakIr, MIT Press, Cambridge, MA, USA, (September-2007).
Altun Y, Hofmann T und Tsochantaridis I: Support Vector Machine Learning for Interdependent and Structured Output Spaces, 85-103. In: Predicting Structured Data, (Ed) G. H. BakIr, MIT Press, Cambridge, MA, USA, (September-2007).

Poster (3):

Erkan AN und Altun Y (Juli-8-2010): A Maximum Entropy Approach to Semi-supervised Learning, 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), Chamonix, France.
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Alamgir M, Grosse-Wentrup M und Altun Y (Juni-2010): Multi-task Learning for Zero Training Brain-Computer Interfaces, 4th International BCI Meeting, Asilomar, CA, USA.
Lippert C, Stegle O, Jegelka S, Altun Y und Borgwardt KM (September-2009): Predicting related traits from SNP markers by multi-task learning, German Conference on Bioinformatics (GCB 2009), Halle, Germany.

Abschlussarbeiten (3):

Altun Y: Discriminative Methods for Label Sequence Learning, Brown University, Providence, RI, USA, (Mai-2005). PhD thesis
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Altun Y: Large margin Methods in Label Sequence Learning, Brown University, Providence, RI, USA, (2003). Master thesis
Altun Y: Machine Learning and Language Acquisition: A Model of Child's Learning of Turkish Morphophonology, Middle East Technical University, Ankara, Turkey, (1999). Master thesis

Vorträge (1):

Peters J, Mülling K und Altun Y (Juli-8-2010) Abstract Talk: Reinforcement Learning by Relative Entropy Policy Search, 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), Chamonix, France 69.

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Last updated: Montag, 22.05.2017