280 search results - page 35 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
WSC
1998
13 years 9 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
NIPS
1993
13 years 9 months ago
1993
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
NN
1998
Springer
13 years 7 months ago
1998
Springer
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
CF
2007
ACM
13 years 11 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
ACCV
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...