Clustered Boltzmann Machines: Massively Parallel Architectures for Constrained Optimization Problems.
Alessandro De GloriaPaolo FaraboschiMauro OlivieriPublished in: Parallel Comput. (1993)
Keyphrases
- massively parallel
- constrained optimization problems
- boltzmann machines
- parallel architectures
- constrained optimization
- evolutionary algorithm
- boltzmann machine
- differential evolution
- optimization problems
- global convergence
- penalty function
- fine grained
- learning tasks
- parallel computing
- crossover operator
- fitness function
- conditional random fields
- parallel machines
- maximum likelihood estimation
- learning algorithm
- undirected graphical models
- multi objective
- approximate inference
- convergence speed
- generative model
- simulated annealing
- particle swarm optimization
- convergence rate
- optimization algorithm