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» A new approach to artificial neural networks
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154
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ASC
2010
15 years 2 months ago
Simplifying Particle Swarm Optimization
The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years, with many attempts to find the variant that performs ...
M. E. H. Pedersen, Andrew J. Chipperfield
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 5 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
150
Voted
AAAI
1996
15 years 3 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 6 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
IJCNN
2007
IEEE
15 years 8 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier