Articles (2): |
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Parker C , Altun Y  and Tadepalli P (December-2009) Guest editorial: special issue on structured prediction
Machine Learning 77(2-3) 161-164.
 
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Tsochantaridis I , Joachims T , Hofmann T and Altun Y (September-2005) Large Margin Methods for Structured and Interdependent Output Variables
Journal of Machine Learning Research 6 1453-1484.
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Conference papers (18): |
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Erkan AN , Kroemer O , Detry R , Altun Y , Piater J and Peters J (October-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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Erkan AN , Camps-Valls G and 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 and Altun Y (July-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 and Altun Y (May-2010) Multitask Learning for Brain-Computer Interfaces
In: JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, Thirteenth International Conference on Artificial Intelligence and Statistics, JMLR, Cambridge, MA, USA, 17-24.
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Erkan AN and Altun Y (May-2010) Semi-supervised Learning via Generalized Maximum Entropy
In: JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, Thirteenth International Conference on Artificial Intelligence and Statistics, JMLR, Cambridge, MA, USA, 209-216.
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Lee D , Hofmann M , Steinke F , Altun Y , Cahill ND and Schölkopf B (June-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 and Altun Y (September-2006) Transductive Gaussian Process Regression with Automatic Model Selection
17th European Conference on Machine Learning (ECML 2006), Springer, Berlin, Germany, 306-317.
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Ciaramita M and Altun Y (July-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.
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Altun Y and Smola AJ (June-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.
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Altun Y , McAllester DA and Belkin M (May-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 and Hofmann T (July-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 and Smola AJ (July-2004) Gaussian Process Classification for Segmenting and Annotating Sequences
21st International Conference on Machine Learning (ICML 2004), ACM Press, New York, USA, 25-32.
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Tsochantaridis I , Hofmann T , Joachims T and Altun Y (July-2004) Support vector machine learning for interdependent and structured output spaces
Twenty-first International Conference on Machine Learning (ICML 2004), AAAI Press, Menlo Park, CA, USA, 1-8.
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Gregory M and Altun Y (July-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.
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Altun Y , Hofmann T and Johnson M (October-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 and 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.
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Altun Y , Tsochantaridis I and Hofmann T (August-2003) Hidden Markov Support Vector Machines
Twentieth International Conference on Machine Learning (ICML 2003), AAAI Press, Menlo Park, CA, USA, 4-11.
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Altun Y , Johnson M and Hofmann T (July-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.
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Contributions to books (4): |
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Charpiat G , Bezrukov I , Hofmann M , Altun Y and 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, (2011).
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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, Hoboken, NJ, USA, (January-2009).
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Altun Y and 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).
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Altun Y , Hofmann T and Tsochantaridis I : Support Vector Machine Learning for Interdependent and Structured Output Spaces, 85-104.
In: Predicting Structured Data, (Ed) G. H. BakIr, MIT Press, Cambridge, MA, USA, (September-2007).
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Posters (3): |
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Erkan AN and Altun Y (July-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), 30 80.
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Peters J , Mülling K and Altun Y (July-2010): Reinforcement Learning by Relative Entropy Policy Search, 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010), 30 69.
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Alamgir M , Grosse-Wentrup M and Altun Y (June-2010): Multi-task Learning for Zero Training Brain-Computer Interfaces, 4th International BCI Meeting, Asilomar, CA, USA, 4th International BCI Meeting, 4(H-2).
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Theses (3): |
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Altun Y : Discriminative Methods for Label Sequence Learning, Brown University, Providence, RI, USA, (May-2005).
PhD thesis
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Altun Y : Large margin Methods in Label Sequence Learning, Brown University, Providence, RI, USA, (2003).
Master thesis
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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
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