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» Dependent Gaussian Processes
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130
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TSD
2010
Springer
15 years 3 months ago
Towards an N-Version Dependency Parser
Abstract. Maltparser is a contemporary dependency parsing machine learningbased system that shows great accuracy. However 90% for Labelled Attachment Score (LAS) seems to be a de f...
Miguel Ballesteros, Jesús Herrera, Virginia...
ICASSP
2011
IEEE
14 years 8 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
175
Voted
EMNLP
2011
14 years 4 months ago
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering ...
Valentin I. Spitkovsky, Hiyan Alshawi, Angel X. Ch...
ICA
2004
Springer
15 years 10 months ago
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
Motoaki Kawanabe, Klaus-Robert Müller
ECBS
2000
IEEE
84views Hardware» more  ECBS 2000»
15 years 9 months ago
Issues in Defining, Analyzing, Refining, and Specifying System Dependability Requirements
Requirements specification has long been acknowledged as an area for further research in the development of systems, particularly for those that are computer based. In addition, a...
Bonnie E. Melhart, Stephanie White