127 search results - page 8 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
CEC
2007
IEEE
14 years 4 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
ML
2008
ACM
13 years 9 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
TNN
2010
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
13 years 4 months ago
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
Artificial Immune Systems (AISs) are biologically inspired problem solvers that have been used successfully as intrusion detection systems (IDSs). This paper describes how the des...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...