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APIN
2010
107views more  APIN 2010»
14 years 11 months ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
IJCINI
2008
107views more  IJCINI 2008»
14 years 11 months ago
Artificial Neural Networks that Classify Musical Chords
An artificial neural network was trained to classify musical chords into four categories--major, dominant seventh, minor, or diminished seventh--independent of musical key. After ...
Vanessa Yaremchuk, Michael R. W. Dawson
CGF
2004
158views more  CGF 2004»
14 years 11 months ago
Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping
This paper presents a general variance reduction method that is a quasi-optimal combination of correlated and importance sampling. The weights of the combination are selected auto...
László Szécsi, Mateu Sbert, L...
NPL
2002
145views more  NPL 2002»
14 years 11 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
GLOBECOM
2010
IEEE
14 years 9 months ago
Distributed High Accuracy Peer-to-Peer Localization in Mobile Multipath Environments
In this paper we consider the problem of high accuracy localization of mobile nodes in a multipath-rich environment where sub-meter accuracies are required. We employ a peer to pee...
Venkatesan N. Ekambaram, Kannan Ramchandran