831 search results - page 91 / 167 » Unsupervised Learning of Dependency Structure for Language M... |
167
Voted
EMNLP
2011
14 years 3 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
139
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NIPS
2008
15 years 4 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
118
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UM
2005
Springer
15 years 8 months ago
2005
Springer
The paper proposes meta-ontology of the user modeling field. Ontology is meant to structure the state-of-the-art in the field and serve as a central reference point and as a tool t...
128
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AAAI
2008
15 years 5 months ago
2008
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
116
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EMNLP
2004
15 years 4 months ago
2004
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...