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197
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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
184
Voted
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
NETWORKING
2008
15 years 8 months ago
XIAN Automated Management and Nano-Protocol to Design Cross-Layer Metrics for Ad Hoc Networking
In the highly dynamic and unpredictable environment of MANETs, cross-layer design is receiving growing interest but lacks experimental validation tools. This paper presents XIAN (C...
Hervé Aïache, Vania Conan, Laure Lebru...
188
Voted
NIPS
2008
15 years 8 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould