100 search results - page 5 / 20 » Evolving recurrent models using linear GP |
IPPS
2009
IEEE
14 years 1 months ago
2009
IEEE
This paper presents a new LogP-based model, called LoOgGP, which allows an accurate characterization of MPI applications based on microbenchmark measurements. This new model is an...
TITS
2008
13 years 6 months ago
2008
Abstract--In this paper, the implementation of genetic programming (GP) to design a controller structure is assessed. GP is used to evolve control strategies that, given the curren...
NECO
2007
13 years 6 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
ICA
2004
Springer
14 years 11 days ago
2004
Springer
Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...