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» Learning from Multiple Sources of Inaccurate Data
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151
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IJCV
2011
264views more  IJCV 2011»
14 years 10 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
135
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EMNLP
2008
15 years 5 months ago
Unsupervised Multilingual Learning for POS Tagging
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
ACL
2006
15 years 5 months ago
Using Machine Learning to Explore Human Multimodal Clarification Strategies
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Verena Rieser, Oliver Lemon
119
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FUZZIEEE
2007
IEEE
15 years 10 months ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
133
Voted
BMCBI
2010
137views more  BMCBI 2010»
15 years 3 months ago
TreeGraph 2: Combining and visualizing evidence from different phylogenetic analyses
Background: Today it is common to apply multiple potentially conflicting data sources to a given phylogenetic problem. At the same time, several different inference techniques are...
Ben C. Stöver, Kai F. Müller