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» Structure learning of Bayesian networks using constraints
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ISDA
2008
IEEE
15 years 10 months ago
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...
NIPS
1996
15 years 5 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
ICASSP
2011
IEEE
14 years 7 months ago
Joint bandwidth and power allocation in cognitive radio networks under fading channels
A problem of joint optimal bandwidth and power allocation in cognitive networks under fading channels is considered. It is assumed that multiple secondary users (SUs) share the sp...
Xiaowen Gong, Sergiy A. Vorobyov, Chintha Tellambu...
IJCNN
2007
IEEE
15 years 10 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
INFOCOM
2010
IEEE
15 years 2 months ago
Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
Prashanth Hande, Mung Chiang, A. Robert Calderbank...