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IDA
2005
Springer
16 years 7 days ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
IPTPS
2004
Springer
16 years 2 days ago
Secure Acknowledgment of Multicast Messages in Open Peer-to-Peer Networks
We propose a new cryptographic technique, Acknowledgment Compression, permitting senders of multicast data to verify that all interested parties have either received the data or l...
Antonio Nicolosi, David Mazières
KES
2004
Springer
16 years 2 days ago
Fuzzy Kolmogorov's Network
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
Vitaliy Kolodyazhniy, Yevgeniy Bodyanskiy
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
IJCNN
2000
IEEE
15 years 11 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...