259 search results - page 6 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
AMC
2007
13 years 7 months ago
2007
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
UAI
1994
13 years 9 months ago
1994
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
UAI
1997
13 years 9 months ago
1997
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...