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» Investigating practical, linear temporal difference learning
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ICONIP
2009
13 years 6 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
ICIP
2005
IEEE
14 years 10 months ago
Comparative study: face recognition on unspecific persons using linear subspace methods
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
ELPUB
2007
ACM
14 years 22 days ago
Designing Metadata Surrogates for Search Result Interfaces of Learning Object Repositories: Linear versus Clustered Metadata Des
This study reports the findings of a usability test conducted to examine users' interaction with two different learning object metadata-driven search result interfaces. The f...
Panos Balatsoukas, Anne Morris, Ann O'Brien
JMLR
2010
144views more  JMLR 2010»
13 years 3 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
EMNLP
2008
13 years 10 months ago
Automatic Inference of the Temporal Location of Situations in Chinese Text
Chinese is a language that does not have morphological tense markers that provide explicit grammaticalization of the temporal location of situations (events or states). However, i...
Nianwen Xue