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ICALT
2006
IEEE
15 years 6 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
15 years 29 days 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
15 years 5 months ago
Adaptive Online Time Allocation to Search Algorithms
Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schm...
COLT
2003
Springer
15 years 5 months ago
Efficient Algorithms for Online Decision Problems
Adam Kalai, Santosh Vempala
ICDAR
2009
IEEE
15 years 6 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