Multimodal Human Computer Interaction: Toward a Proactive Computer
Supported by NSF
Period: 2000-2004
Relevant Publications:
- R. de Salvo Braz, E. Amir, and D. Roth, A Survey of First-Order Probabilistic Models. Innovations in Bayesian Networks (2008) pp. 289--317 [bibitem]
- D. Roth and W. Yih, Global Inference for Entity and Relation Identification via a Linear Programming Formulation. Introduction to Statistical Relational Learning (2007) [bibitem]
- R. de Salvo Braz, E. Amir, and D. Roth, Lifted First-Order Probabilistic Inference. Introduction to Statistical Relational Learning (2007) [bibitem]
- Z. Zeng, J. Tu, M. Liu, T. Huang, B. Pianfetti, D. Roth, and S. Levinson, Audio-Visual Affect Recognition. IEEE Transactions on Multimedia (2007) pp. 424-428 [bibitem]
- R. de Salvo Braz, E. Amir, and D. Roth, MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. Proceedings of the National Conference on Artificial Intelligence (AAAI) (2006) [bibitem]
- R. de Salvo Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons, An Inference Model for Semantic Entailment in Natural Language. Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, Revised Selected Papers (2006) pp. 261--286 [bibitem]
- D. Roth and W. Yih, Integer Linear Programming Inference for Conditional Random Fields. Proc. of the International Conference on Machine Learning (ICML) (2005) pp. 737--744 [bibitem]
- V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Learning and Inference over Constrained Output. Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) (2005) pp. 1124--1129 [bibitem]
- R. de Salvo Braz, E. Amir, and D. Roth, Lifted First-order Probabilistic Inference. Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) (2005) pp. 1319--1125 (abstract) [bibitem]
- R. Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons, An Inference Model for Semantic Entailment in Natural Language. Proceedings of the National Conference on Artificial Intelligence (AAAI) (2005) pp. 1678--1679 [bibitem]
- R. Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons, Knowledge Representation for Semantic Entailment and Question-Answering. IJCAI-05 Workshop on Knowledge and Reasoning for Question Answering (2005) [bibitem]
- R. de Salvo Braz, R. Girju, V. Punyakanok, D. Roth, and M. Sammons, An Inference Model for Semantic Entailment in Natural Language. Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) (2005) [bibitem]
- S. Agarwal and D. Roth, Learnability of Bipartite Ranking Functions. Proc. of the Annual ACM Workshop on Computational Learning Theory (COLT) (2005) pp. 16--31 (abstract) [bibitem]
- S. Agarwal, S. Har-Peled, and D. Roth, A Uniform Convergence Bound for the Area Under the ROC Curve. Artificial IntelligenceSTAT (2005) pp. 1-8 (abstract) [bibitem]
- S. Agarwal, T. Graepel, R. Herbrich, and D. Roth, A Large Deviation Bound for the Area Under the ROC Curve. The Conference on Advances in Neural Information Processing Systems (NIPS) (2005) pp. 9--16 (abstract) [bibitem]
- S. Agarwal, T. Graepel, R. Herbrich, S. Har-Peled, and D. Roth, Generalization Bounds for the Area Under the ROC Curve. Journal of Machine Learning Research (2005) pp. 393--425 (abstract) [bibitem]
- P. Fung and D. Roth, Guest Editors Introduction: Machine Learning in Speech and Language Technologies. Machine Learning (2005) pp. 1-6 [bibitem]
- D. Roth, Learning based Programming. Innovations in Machine Learning: Theory and Applications (2005) [bibitem]
- X. Li and D. Roth, Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification. Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL) (2005) pp. 64--71 [bibitem]
- B. Ziebart, A. Dey, R. Campbell, and D. Roth, Learning Automation Policies for Pervasive Computing Environments. ICAC'05, The IEEE International Conference on Autonomic Computing (2005) pp. 204-215 [bibitem]
- D. Roth and W. Yih, A Linear Programming Formulation for Global Inference in Natural Language Tasks. Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL) (2004) pp. 1--8 (abstract) [bibitem]
- V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Semantic Role Labeling via Integer Linear Programming Inference. Proc. the International Conference on Computational Linguistics (COLING) (2004) pp. 1346--1352 (abstract) [bibitem]
- Z. Zeng, J. Tu, M. Liu, T. Zhang, N. Rizzolo, Z. Zhang, T. Huang, D. Roth, and S. Levinson, Bimodal HCI-related Affect Recognition. ICMI'04, The 6th International Conference on Multimodal Interfaces (2004) pp. 137--143 (abstract) [bibitem]
- W. Yih, P. Chang, and W. Kim, Mining Online Deal Forums for Hot Deals. Web Intelligence (2004) pp. 384--390 [bibitem]
- D. Roth and W. Yih, A Linear Programming Formulation for Global Inference in Natural Language Tasks. Proceedings of AI & Math (2004) pp. 1--8 (abstract) [bibitem]
- V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Learning via Inference over Structurally Constrained Output. NIPS Workshop on Learning Structured Output (2004) (abstract) [bibitem]
- S. Har-Peled, D. Roth, and D. Zimak, Constraint Classification for Multiclass Classification and Ranking. The Conference on Advances in Neural Information Processing Systems (NIPS) (2003) pp. 785--792 [bibitem]
- C. Cumby and D. Roth, On Kernel Methods for Relational Learning. Proc. of the International Conference on Machine Learning (ICML) (2003) pp. 107--114 (abstract) [bibitem]
- A. Garg and D. Roth, Margin Distribution and Learning Algorithms. Proc. of the International Conference on Machine Learning (ICML) (2003) pp. 210--217 (abstract) [bibitem]
- X. Li, D. Roth, and Y. Tu, Phrasenet: towards context sensitive lexical semantics. Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL) (2003) (abstract) [bibitem]
- C. Cumby and D. Roth, Feature Extraction Languages for Propositionalized Relational Learning. IJCAI Workshop on Learning Statistical Models from Relational Data (2003) (abstract) [bibitem]
- R. de Salvo Braz and D. Roth, Functional subsumption in Description Logics. NIPS Workshop on Feature Extraction and Selection (2003) [bibitem]
- A. Garg, S. Har-Peled, and D. Roth, On generalization bounds, projection profile, and margin distribution. ICML (2002) pp. 171--178 (abstract) [bibitem]
- S. Har-Peled, D. Roth, and D. Zimak, Constraint Classification: a new approach to Multiclass Classification. Proc. of the International Workshop on Algorithmic Learning Theory (ALT) (2002) pp. 135--150 (abstract) [bibitem]
- A. Garg and D. Roth, Understanding Probabilistic Classifiers. Proc. of the European Conference on Machine Learning (ECML) (2001) pp. 179--191 (abstract) [bibitem]
- A. Garg and D. Roth, Learning Coherent Concepts. Proc. of the International Workshop on Algorithmic Learning Theory (ALT) (2001) pp. 135--150 (abstract) [bibitem]
