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ICALT
2006
IEEE
14 years 1 months ago
Mobile Learning: Is Anytime + Anywhere = Always Online?
The new e-learning trend, called mobile learning opens variety of questions to solve. To allow access to learning content anytime and anyplace a technique called hoarding is somet...
Anna Trifonova, Marco Ronchetti
DAGSTUHL
2009
13 years 8 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
ECML
2004
Springer
14 years 29 days ago
Adaptive Online Time Allocation to Search Algorithms
Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schm...
COLT
2003
Springer
14 years 24 days ago
Efficient Algorithms for Online Decision Problems
Adam Kalai, Santosh Vempala
ICDAR
2009
IEEE
14 years 2 months ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil