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ICANN
2009
Springer
14 years 1 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ISCI
2008
137views more  ISCI 2008»
13 years 8 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
COMPUTER
2010
127views more  COMPUTER 2010»
13 years 6 months ago
Data Stream Management Systems for Computational Finance
Computational finance leverages computer technologies to build models from large amounts of data to extract insight. In today's networked world, the amount of data available t...
Badrish Chandramouli, Mohamed H. Ali, Jonathan Gol...
VLDB
1999
ACM
101views Database» more  VLDB 1999»
14 years 1 months ago
Spatio-Temporal Retrieval with RasDaMan
Database support for multidimensional arrays is an area of growing importance; a variety of highvolume applications such as spatio-temporal data management and statistics/OLAP bec...
Peter Baumann, Andreas Dehmel, Paula Furtado, Rola...
CIKM
2011
Springer
12 years 8 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld