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» Efficient learning algorithms for changing environments
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IANDC
2006
101views more  IANDC 2006»
14 years 11 months ago
Mind change efficient learning
This paper studies efficient learning with respect to mind changes. Our starting point is the idea that a learner that is efficient with respect to mind changes minimizes mind cha...
Wei Luo, Oliver Schulte
79
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CP
2008
Springer
15 years 1 months ago
Experimenting with Small Changes in Conflict-Driven Clause Learning Algorithms
Experimentation of new algorithms is the usual companion section of papers dealing with SAT. However, the behavior of those algorithms is so unpredictable that even strong experime...
Gilles Audemard, Laurent Simon
COLT
2008
Springer
15 years 1 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
100
Voted
AIA
2007
15 years 1 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
92
Voted
IRMA
2000
15 years 29 days ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko