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ATAL
2008
Springer
13 years 11 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
SIGIR
2012
ACM
11 years 11 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
AICT
2006
IEEE
100views Communications» more  AICT 2006»
14 years 3 months ago
A Concept Model for Computer-based Spoken Language Tests
Spoken language education plays an important role in modern language courses. Computer-based spoken language test systems provide a convenient, efficient and reliable approach to ...
Yijian Wu, Wenyun Zhao, Xin Peng, Yunjiao Xue
ICASSP
2008
IEEE
14 years 3 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
ACE
2004
182views Education» more  ACE 2004»
13 years 10 months ago
Learning to Program: Spreadsheets, Scripting and HCI
An examination of some recent programming texts indicates that the complexities of modern programming languages and environments have replaced the study of algorithms and programm...
Peter Warren