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NPL
2011
12 years 11 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
JMLR
2002
133views more  JMLR 2002»
13 years 8 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
Predicting the functions of proteins in Protein-Protein Interaction networks from global information
In this work we present a novel approach to predict the function of proteins in protein-protein interaction (PPI) networks. We classify existing approaches into inductive and tran...
Hossein Rahmani, Hendrik Blockeel, Andreas Bender
JCNS
2010
126views more  JCNS 2010»
13 years 7 months ago
Calibration of the head direction network: a role for symmetric angular head velocity cells
Abstract Continuous attractor networks require calibration. Computational models of the head direction (HD) system of the rat usually assume that the connections that maintain HD n...
Peter Stratton, Gordon Wyeth, Janet Wiles
MSR
2010
ACM
14 years 1 months ago
Validity of network analyses in Open Source Projects
—Social network methods are frequently used to analyze networks derived from Open Source Project communication and collaboration data. Such studies typically discover patterns in...
Roozbeh Nia, Christian Bird, Premkumar T. Devanbu,...