8 search results - page 1 / 2 » A Neural Network Model for Inter-problem Adaptive Online Tim... |
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
NPL
1998
13 years 4 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
IWQOS
2004
Springer
13 years 10 months ago
2004
Springer
— We propose an algorithm for design and on the fly modification of the schedule of a wireless ad hoc network for provision of fair service guarantees under topological changes...
HIS
2008
13 years 6 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
DCC
2010
IEEE
13 years 3 months ago
2010
IEEE
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...