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» Language model adaptation using Random Forests
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ICML
2006
IEEE
14 years 8 months ago
An empirical comparison of supervised learning algorithms
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
Rich Caruana, Alexandru Niculescu-Mizil
BCS
2008
13 years 9 months ago
Adaptive Random Re-Routing for Differentiated QoS in Sensor Networks
Much of the traffic carried by Sensor Networks will originate from routine measurements or observations by sensors which monitor a particular situation, such as the temperature an...
Erol Gelenbe, Edith C. H. Ngai
HIPC
2005
Springer
14 years 1 months ago
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
COLING
2010
13 years 2 months ago
Local lexical adaptation in Machine Translation through triangulation: SMT helping SMT
We present a framework where auxiliary MT systems are used to provide lexical predictions to a main SMT system. In this work, predictions are obtained by means of pivoting via aux...
Josep Maria Crego, Aurélien Max, Fran&ccedi...
LREC
2010
199views Education» more  LREC 2010»
13 years 9 months ago
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use o...
Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José...