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ICML
2009
IEEE
16 years 1 months ago
Efficient learning algorithms for changing environments
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
Elad Hazan, C. Seshadhri
83
Voted
JCIT
2007
111views more  JCIT 2007»
15 years 8 days ago
Pedagogical Usability Checklist for ESL/EFL E-learning Websites
It is, thus, not surprising that English education has gained more attention than ever and there also has been a growing amount of interest in learning English online. Although the...
C. J. Lim, S. Lee
LREC
2010
211views Education» more  LREC 2010»
15 years 1 months ago
Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank
The Quranic Arabic Dependency Treebank (QADT) is part of the Quranic Arabic Corpus (http://corpus.quran.com), an online linguistic resource organized by the University of Leeds, a...
Kais Dukes, Eric Atwell, Abdul-Baquee M. Sharaf
102
Voted
IJKL
2010
105views more  IJKL 2010»
14 years 7 months ago
Lurking: a challenge or a fruitful strategy? A comparison between lurkers and active participants in an online corporate communi
: For todays organisations to obtain competitive advantages, online corporate Communities of Practice (CoPs) are indispensable. However, often the majority of its participants does...
Mirjam Neelen, Sibren Fetter
SOFSEM
2010
Springer
15 years 9 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour