280 search results - page 9 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
97
Voted
FLAIRS
1998
15 years 1 months ago
1998
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
87
Voted
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
We discuss evidence for the existence of mirror systems in the brain, including recent experimental results that demonstrate the use of shared pathways for the observation and exec...
FLAIRS
2008
15 years 2 months ago
2008
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
99
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
112
Voted
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
Prediction of dynamic features is an important task for determining the manipulation strategies of an object. This paper presents a technique for predicting dynamics of objects re...