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CORR
2006
Springer
83views Education» more  CORR 2006»
15 years 5 months ago
How to Beat the Adaptive Multi-Armed Bandit
The multi-armed bandit is a concise model for the problem of iterated decision-making under uncertainty. In each round, a gambler must pull one of K arms of a slot machine, withou...
Varsha Dani, Thomas P. Hayes
NPL
2006
109views more  NPL 2006»
15 years 4 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
KI
2002
Springer
15 years 4 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
124
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ICASSP
2011
IEEE
14 years 8 months ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis
ICIP
2005
IEEE
16 years 6 months ago
A weight-adaptive dynamic model for shape segmentation
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
Klaus D. Tönnies, Peter Benedix