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» Training Methods for Adaptive Boosting of Neural Networks
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ICANN
2001
Springer
15 years 2 months ago
Scalable Kernel Systems
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
Volker Tresp, Anton Schwaighofer
MICAI
2007
Springer
15 years 3 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
CMMR
2007
Springer
161views Music» more  CMMR 2007»
15 years 3 months ago
NN Music: Improvising with a 'Living' Computer
A live algorithm describes an ideal autonomous performance system able to engage in performance with abilities analogous, if not identical, to a human musician. This paper proposes...
Michael Young
IJON
1998
119views more  IJON 1998»
14 years 9 months ago
Comment on "Recurrent neural networks: A constructive algorithm, and its properties"
In their paper [1], Tsoi and Tan present what they call a "canonical form", which they claim to be identical to that proposed in Nerrand et al [2]. They also claim that ...
Léon Personnaz, Gérard Dreyfus
IJCNN
2000
IEEE
15 years 2 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen