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» Modeling Classification and Inference Learning
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CICLING
2008
Springer
15 years 2 months ago
Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan
This paper analyzes two joint inference approaches for semantic role labeling: re-ranking of candidate semantic frames generated by one local model and combination of two distinct ...
Mihai Surdeanu, Roser Morante, Lluís M&agra...
125
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JMLR
2010
143views more  JMLR 2010»
14 years 7 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
112
Voted
JMLR
2010
102views more  JMLR 2010»
14 years 7 months ago
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubram...
109
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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 16 days ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
FSS
2008
110views more  FSS 2008»
15 years 19 days ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker