Yasemin Altun

发表

Large margin methods for label sequence learning

Thomas Hofmann, Yasemin Altun, Thomas Hofmann, 2003, INTERSPEECH.

Reinforcement Learning by Relative Entropy Policy Search

Yasemin Altun, Jan Peters, Katharina Mülling, 2010 .

Discovering emerging entities with ambiguous names

Gerhard Weikum, Johannes Hoffart, Yasemin Altun, 2014, WWW.

Large Margin Methods for Structured and Interdependent Output Variables

Thomas Hofmann, Thorsten Joachims, Yasemin Altun, 2005, J. Mach. Learn. Res..

Large Margin Methods for Part‐of‐Speech Tagging

Yasemin Altun, 2009 .

Margin Semi-Supervised Learning for Structured Variables

Mikhail Belkin, Yasemin Altun, David A. McAllester, 2005, NIPS.

Hidden Markov Support Vector Machines

Thomas Hofmann, Yasemin Altun, Ioannis Tsochantaridis, 2003, ICML.

Machine Learning and Language Acquisition: A Model of Child's Learning of Turkish Morphophonology

Yasemin Altun, Y. Altun, 1999 .

A Maximum Entropy Approach to Semi-supervised Learning

Yasemin Altun, Ayse Erkan, 2010 .

Support vector machine learning for interdependent and structured output spaces

Thomas Hofmann, Thorsten Joachims, Yasemin Altun, 2004, ICML.

Semi-Markov Models for Sequence Segmentation

Alexander J. Smola, S. V. N. Vishwanathan, Yasemin Altun, 2007, EMNLP.

Machine Learning Methods for Automatic Image Colorization

Yasemin Altun, Guillaume Charpiat, Bernhard Schölkopf, 2011 .

Multitask Multiple Kernel Learning

Yasemin Altun, Christian Widmer, Nora C. Toussaint, 2010 .

Bernhard Schölkopf, Florian Steinke, Daewon Lee, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Semi-Supervised Learning via Generalized Maximum Entropy

Yasemin Altun, Ayse Erkan, Y. Altun, 2010, AISTATS.

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning

Gunnar Rätsch, Yasemin Altun, Christian Widmer, 2010, BMC Bioinformatics.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

Gaussian process classification for segmenting and annotating sequences

Thomas Hofmann, Alexander J. Smola, Yasemin Altun, 2004, ICML.

Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech

Yasemin Altun, Michelle L. Gregory, 2004, ACL.

Novel Machine Learning Methods for MHC Class I Binding Prediction

Gunnar Rätsch, Yasemin Altun, Oliver Kohlbacher, 2010, PRIB.

Exponential Families for Conditional Random Fields pdf

Thomas Hofmann, Alexander J. Smola, Yasemin Altun, 2004, UAI.

Learning probabilistic discriminative models of grasp affordances under limited supervision

Oliver Kroemer, Justus H. Piater, Yasemin Altun, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Taxonomy-based Multitask Learning

Yasemin Altun, Christian Widmer, Jose Leiva, 2010 .

Bernhard Schölkopf, Florian Steinke, Nathan D. Cahill, 2009, CVPR 2009.

Discriminative Methods for Label Sequence Learning

Thomas Hofmann, Yasemin Altun, Thomas Hofmann, 2005 .

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences

Thomas Hofmann, Mark Johnson, Yasemin Altun, 2003, EMNLP.

Seminar in Artificial Intelligence

Yasemin Altun, Jan Peters, Katharina Mülling, 2015 .

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning

Gunnar Rätsch, Yasemin Altun, Christian Widmer, 2010, RECOMB.

Transductive Gaussian Process Regression with Automatic Model Selection

Thomas Gärtner, Alexander J. Smola, Quoc V. Le, 2006, ECML.

Unifying Divergence Minimization and Statistical Inference Via Convex Duality

Alexander J. Smola, Yasemin Altun, Alex Smola, 2006, COLT.

Relative Entropy Policy Search

Yasemin Altun, Jan Peters, Katharina Mülling, 2010 .

Discriminative Learning for Label Sequences via Boosting

Thomas Hofmann, Mark Johnson, Yasemin Altun, 2002, NIPS.

Maximum Margin Semi-Supervised Learning for Structured Variables

Mikhail Belkin, Yasemin Altun, David A. McAllester, 2005, NIPS 2005.

Guest editorial: special issue on structured prediction

Yasemin Altun, Prasad Tadepalli, Charles Parker, 2009, Machine Learning.

Reading Comprehension Programs in a Statistical-Language-Processing Class

Yasemin Altun, Margaret Kosmala, Eugene Charniak, 2000 .

Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger

Yasemin Altun, Massimiliano Ciaramita, Y. Altun, 2006, EMNLP.

Overcoming the Lack of Parallel Data in Sentence Compression

Yasemin Altun, Katja Filippova, Y. Altun, 2013, EMNLP.

Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data pdf

Yasemin Altun, Massimo Nicosia, Zhongdi Qu, 2021, EMNLP.

Semi-supervised remote sensing image classification via maximum entropy

Yasemin Altun, Gustavo Camps-Valls, Y. Altun, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.