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BMCBI
2008
123views more  BMCBI 2008»
13 years 8 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
IWCMC
2010
ACM
13 years 10 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
14 years 4 days ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
COLING
1990
13 years 9 months ago
Language Without A Central Pushdown Stack
We will attempt to show how human performance limitations on various types of syntactic embedding constructions in Germanic languages can be modelled in a relational network lingu...
Carson T. Schütze, Peter A. Reich
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 2 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...