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NIPS
1996
15 years 4 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
123
Voted
CORR
2002
Springer
137views Education» more  CORR 2002»
15 years 3 months ago
On ASGS framework: general requirements and an example of implementation
: In the paper we propose general framework for Automatic Secret Generation and Sharing (ASGS) that should be independent of underlying secret sharing scheme. ASGS allows to preven...
Kamil Kulesza, Zbigniew Kotulski
GREC
2009
Springer
15 years 1 months ago
Robust and Precise Circular Arc Detection
In this paper we present a method to robustly detect circular arcs in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of...
Bart Lamiroy, Yassine Guebbas
165
Voted
JMLR
2012
13 years 6 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 10 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...