Altun, Yasemin

14 publications

ECML-PKDD 2017 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski

AISTATS 2010 Multitask Learning for Brain-Computer Interfaces Morteza Alamgir, Moritz Grosse–Wentrup, Yasemin Altun

AAAI 2010 Relative Entropy Policy Search Jan Peters, Katharina Mülling, Yasemin Altun

AISTATS 2010 Semi-Supervised Learning via Generalized Maximum Entropy Ayse Erkan, Yasemin Altun

MLJ 2009 Guest Editorial: Special Issue on Structured Prediction Charles Parker, Yasemin Altun, Prasad Tadepalli

CVPR 2009 Learning Similarity Measure for Multi-Modal 3D Image Registration Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf

ECML-PKDD 2006 Transductive Gaussian Process Regression with Automatic Model Selection Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun

COLT 2006 Unifying Divergence Minimization and Statistical Inference via Convex Duality Yasemin Altun, Alexander J. Smola

JMLR 2005 Large Margin Methods for Structured and Interdependent Output Variables Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun

UAI 2004 Exponential Families for Conditional Random Fields Yasemin Altun, Alexander J. Smola, Thomas Hofmann

ICML 2004 Gaussian Process Classification for Segmenting and Annotating Sequences Yasemin Altun, Thomas Hofmann, Alexander J. Smola

ICML 2004 Support Vector Machine Learning for Interdependent and Structured Output Spaces Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun

ICML 2003 Hidden Markov Support Vector Machines Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann

NeurIPS 2002 Discriminative Learning for Label Sequences via Boosting Yasemin Altun, Thomas Hofmann, Mark Johnson