| Answering Conversational Questions on Structured Data without Logical Forms | 0 | 0.34 | 2019 |
| Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail | 32 | 1.05 | 2016 |
| Transfer Learning in Brain-Computer Interfaces | 0 | 0.34 | 2015 |
| Discovering emerging entities with ambiguous names | 47 | 1.41 | 2014 |
| Overcoming the Lack of Parallel Data in Sentence Compression. | 29 | 1.99 | 2013 |
| Exponential families for conditional random fields | 16 | 2.70 | 2012 |
| Learning probabilistic discriminative models of grasp affordances under limited supervision | 6 | 0.57 | 2010 |
| Novel machine learning methods for MHC Class I binding prediction | 8 | 0.44 | 2010 |
| Leveraging sequence classification by taxonomy-based multitask learning | 18 | 0.75 | 2010 |
| Multitask Learning for Brain-Computer Interfaces | 0 | 0.34 | 2010 |
| Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. | 33 | 0.83 | 2010 |
| Multitask Learning for Brain-Computer Interfaces | 26 | 1.61 | 2010 |
| Semi-Supervised Learning via Generalized Maximum Entropy | 3 | 0.48 | 2010 |
| Guest editorial: special issue on structured prediction | 2 | 0.40 | 2009 |
| Learning similarity measure for multi-modal 3D image registration | 24 | 1.13 | 2009 |
| Semi-Markov Models for Sequence Segmentation | 0 | 0.34 | 2007 |
| Unifying divergence minimization and statistical inference via convex duality | 31 | 3.27 | 2006 |
| Transductive gaussian process regression with automatic model selection | 3 | 0.42 | 2006 |
| Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger | 106 | 5.45 | 2006 |
| Large Margin Methods for Structured and Interdependent Output Variables | 1043 | 46.53 | 2005 |
| Margin Semi-Supervised Learning for Structured Variables | 3 | 0.57 | 2005 |
| Gaussian process classification for segmenting and annotating sequences | 18 | 0.98 | 2004 |
| Support vector machine learning for interdependent and structured output spaces | 670 | 38.75 | 2004 |
| Using conditional random fields to predict pitch accents in conversational speech | 30 | 1.88 | 2004 |
| Investigating loss functions and optimization methods for discriminative learning of label sequences | 21 | 1.58 | 2003 |
| Large margin methods for label sequence learning | 11 | 1.60 | 2003 |
| Hidden Markov Support Vector Machines | 257 | 29.54 | 2003 |
| Discriminative Learning for Label Sequences via Boosting | 26 | 5.19 | 2002 |
