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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 8 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
EPEW
2008
Springer
13 years 10 months ago
An Empirical Investigation of the Applicability of a Component-Based Performance Prediction Method
Abstract. Component-based software performance engineering (CBSPE) methods shall enable software architects to assess the expected response times, throughputs, and resource utiliza...
Anne Martens, Steffen Becker, Heiko Koziolek, Ralf...
ACL
2009
13 years 6 months ago
Handling phrase reorderings for machine translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
14 years 1 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
CIBCB
2009
IEEE
13 years 10 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...