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IJAR
2010
152views more  IJAR 2010»
15 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
LION
2009
Springer
135views Optimization» more  LION 2009»
16 years 1 months ago
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
We present a new knowledge-based Model Quality Assessment Program (MQAP) at the residue level which evaluates single protein structure models. We use a tree representation of the ...
Alberto J. M. Martin, Alessandro Vullo, Gianluca P...
WCNC
2008
IEEE
16 years 28 days ago
Training Structure Design Optimization for Continuous Time-Varying Fading Channels
— In fast-varying faded channels the transmission can be organized into frames where the channel estimation is mainly training-based. For fast-varying fading channels the trainin...
Stefano Savazzi, Umberto Spagnolini
IRCDL
2010
15 years 8 months ago
Interactive Visual Representations of Complex Information Structures
One of the most challenging issues in managing the large and diverse data available on the World Wide Web is the design of interactive systems to organize and represent information...
Gianpaolo D'Amico, Alberto Del Bimbo, Marco Meoni
MASCOTS
2004
15 years 8 months ago
Structured Stochastic Modeling of Fault-Tolerant Systems
Fault-tolerant mechanisms have been increasingly used to develop safety-critical systems in the past years. Therefore the accurate description of these mechanisms is crucial if we...
Cristiano Bertolini, Leonardo Brenner, Paulo Ferna...