Sciweavers

6181 search results - page 47 / 1237
» Predictive Matrix-Variate t Models
Sort
View
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 4 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
IJCNN
2000
IEEE
14 years 3 months ago
Bi-Causal Recurrent Cascade Correlation
Recurrent neural networks fail to deal with prediction tasks which do not satisfy the causality assumption. We propose to exploit bi-causality to extend the Recurrent Cascade Corr...
Alessio Micheli, Diego Sona, Alessandro Sperduti
NECO
2002
105views more  NECO 2002»
13 years 10 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
IJHPCA
2010
113views more  IJHPCA 2010»
13 years 9 months ago
Accurate Heterogeneous Communication Models and a Software Tool for Their Efficient Estimation
In this paper, we analyze restrictions of traditional communication performance models affecting the accuracy of analytical prediction of the execution time of collective communic...
Alexey L. Lastovetsky, Vladimir Rychkov, Maureen O...
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
14 years 5 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh