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EMNLP
2008
13 years 9 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
VCIP
2003
118views Communications» more  VCIP 2003»
13 years 9 months ago
Object and event recognition for stroke rehabilitation
Stroke is a major cause of disability and health care expenditure around the world. Existing stroke rehabilitation methods can be effective but are costly and need to be improved....
Ahmed Ghali, Andrew S. Cunningham, Tony P. Pridmor...
AAI
2008
93views more  AAI 2008»
13 years 7 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
UAIS
2008
155views more  UAIS 2008»
13 years 7 months ago
Adaptive course generation through learning styles representation
This paper presents an approach to automatic course generation and student modeling. The method has been developed during the European funded projects Diogene and Intraserv, focuse...
Enver Sangineto, Nicola Capuano, Matteo Gaeta, Ale...
USS
2010
13 years 5 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...