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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 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
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
16 years 15 days ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
NC
1998
15 years 7 months ago
An Addition to Backpropagation for Computing Functional Roots
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Lars Kindermann
BIOCOMP
2010
15 years 4 months ago
A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images
- We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection ...
Ömer M. Soysal, Jianhua Chen, Steven Bujenovi...
ICIP
2007
IEEE
16 years 20 days ago
Automated Solder Inspection Method by Means of X-ray Oblique Computed Tomography
High-density LSI packages such as ball grid array (BGA) are being utilised in the car electronics and communications infrastructure products. These products require a high-speed a...
Atsushi Teramoto, Takayuki Murakoshi, Masatoshi Ts...