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» On Generalized Feistel Networks
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IJCNN
2000
IEEE
15 years 11 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
INFOCOM
2000
IEEE
15 years 11 months ago
Power Controlled Multiple Access (PCMA) in Wireless Communication Networks
—We address the issue of power-controlled shared channel access in future wireless networks supporting packetized data traffic, beyond the voice-oriented continuous traffic prima...
Nicholas Bambos, Sunil Kandukuri
IBERAMIA
1998
Springer
15 years 11 months ago
Bayesian Networks for Reliability Analysis of Complex Systems
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We developed a general methodology for modelling reliability of complex systems based o...
José G. Torres-Toledano, Luis Enrique Sucar
ISMVL
1994
IEEE
87views Hardware» more  ISMVL 1994»
15 years 11 months ago
Multiple-Valued-Input TANT Networks
The paper proposes mvTANTs, three-level networks with multiple-valued inputs and binary outputs. These networks are a generalization of binary TANTs (Three level And Not networks...
Marek A. Perkowski, Malgorzata Chrzanowska-Jeske
OGAI
1993
15 years 11 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse