4947 search results - page 464 / 990 » Learning Module Networks |
161
Voted
ESANN
2004
15 years 7 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...
187
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
161
click to vote
ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
172
click to vote
GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
171
click to vote
ESANN
2003
15 years 7 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...