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EMNLP
2011
13 years 11 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
ICPR
2008
IEEE
16 years 14 days ago
Asymmetric post-processing for stereo correspondence
This paper presents a novel approach that performs post-processing for stereo correspondence. We improve the performance of stereo correspondence by performing consistency check a...
Dong Bo Min, Juhyun Oh, Kwanghoon Sohn
ICML
2003
IEEE
16 years 2 days ago
Link-based Classification
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
Qing Lu, Lise Getoor
ICASSP
2009
IEEE
15 years 6 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
SEMWEB
2007
Springer
15 years 5 months ago
Using the Dempster-Shafer Theory of Evidence to Resolve ABox Inconsistencies
Abstract. Automated ontology population using information extraction algorithms can produce inconsistent knowledge bases. Confidence values assigned by the extraction algorithms m...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...