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ANNPR
2006
Springer
15 years 10 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
EURONGI
2006
Springer
15 years 10 months ago
Performance Analysis of Wireless Multihop Data Networks
We consider wireless multihop data networks with random multi-access mechanisms at the MAC layer. In general, our aim is to study the performance as perceived by users in a dynamic...
Nidhi Hegde, Alexandre Proutiére
ECAI
2000
Springer
15 years 10 months ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti
RECOMB
2000
Springer
15 years 10 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
ASAP
2006
IEEE
147views Hardware» more  ASAP 2006»
15 years 8 months ago
Reconfigurable Shuffle Network Design in LDPC Decoders
Several semi-parallel decoding architectures have been explored by researchers for the quasi-cyclic low density parity check (LDPC) codes. In these architectures, the reconfigurab...
Jun Tang, Tejas Bhatt, Vishwas Sundaramurthy