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Publication search results
found 20 matches
- 2011
- Shirin Badiezadegan, Richard C. Rose:
A comparison of performance monitoring approaches to fusing spectrogram channels in speech recognition. MLSLP 2011: 6-10 - Yoshua Bengio:
On learning distributed representations of semantics. MLSLP 2011 - Jeff A. Bilmes, Hui Lin, Andrew Guillory:
Applications of submodular functions in speech and NLP. MLSLP 2011 - Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth:
Structured prediction with indirect supervision. MLSLP 2011 - Stanley F. Chen, Stephen M. Chu, Ahmad Emami, Lidia Mangu, Bhuvana Ramabhadran, Ruhi Sarikaya, Abhinav Sethy:
Performance prediction and shrinking language models. MLSLP 2011 - David L. Chen, Raymond J. Mooney:
Panning for gold: finding relevant semantic content for grounded language learning. MLSLP 2011: 26-30 - Sanjoy Dasgupta:
Recent advances in active learning. MLSLP 2011 - Jason Eisner, Markus Dreyer:
A non-parametric Bayesian approach to inflectional morphology. MLSLP 2011 - Mark Hasegawa-Johnson, Jui-Ting Huang, Xiaodan Zhuang:
Unlabeled data and other marginals. MLSLP 2011 - Hynek Hermansky, Nima Mesgarani, Samuel Thomas:
Performance monitoring for robustness in automatic recognition of speechi. MLSLP 2011: 31-34 - Eduard H. Hovy:
On the role of machine learning in NLP. MLSLP 2011 - Deryle Lonsdale, Carl Christensen:
Automating the scoring of elicited imitation tests. MLSLP 2011: 16-20 - David A. McAllester:
Generalization bounds and consistency for latent-structural probit and ramp loss. MLSLP 2011 - Robert Moore, John DeNero:
L1 and L2 regularization for multiclass hinge loss models. MLSLP 2011: 1-5 - George Saon, Jen-Tzung Chien:
Bayesian sensing hidden Markov models for speech recognition. MLSLP 2011 - Lawrence K. Saul, Chih-Chieh Cheng, Fei Sha:
Online learning of large margin hidden Markov models for automatic speech recognition. MLSLP 2011 - Rushin Shah, Bo Lin, Kevin Dela Rosa, Anatole Gershman, Robert E. Frederking:
Improving cross-document co-reference with semi-supervised information extraction modelsi. MLSLP 2011: 21-25 - Mark Steedman:
Some open problems in machine learning for NLP. MLSLP 2011 - Meng Sun, Hugo Van hamme:
A two-layer non-negative matrix factorization model for vocabulary discovery. MLSLP 2011: 11-15 - 2011 Symposium on Machine Learning in Speech and Language Processing, MLSLP 2011, Bellevue, WA, USA, June 27, 2011. ISCA 2011 [contents]
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