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ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
ALT
2008
Springer
14 years 7 months ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
DSOM
2006
Springer
14 years 1 months ago
2006
Springer
As the complexity of large-scale enterprise applications increases, providing performance verification through staging becomes an important part of reducing business risks associat...