251 search results - page 9 / 51 » Approximation and Estimation Bounds for Artificial Neural Ne... |
ESANN
2004
13 years 9 months ago
2004
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
TSMC
1998
13 years 7 months ago
1998
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper extends previously proposed bound propagation algorithm [11] for computing lower and upper bounds on posterior marginals in Bayesian networks. We improve the b...
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
NIPS
2000
13 years 8 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....