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These provide a robust architecture for learning nonlinear phenomenon.
This paper proposes an architecture for learning and evolving of Flexible Job-Shop schedules called LEarnable Genetic Architecture (LEGA).
We have used some of these functional properties of the hippocampus as the basis for an artificial neural network architecture for learning and forming associations.
This paper deals with the development of cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built.
The 3-channel fuzzy ART network FALCON (Fusion Architecture for Learning, COgnition, and Navigation) is known as an effective method for combining reinforcement learning with state segmentation.
In this paper we propose a real time dynamic programming architecture for learning a high quality policy through simulation geared towards multi-stage stochastic decision problems.
Similar(41)
A comprehensive survey of existing SOM-based and related architectures for learning input output mappings is carried out and the application of these architectures to nonlinear adaptive filtering is formulated.
(2007) developed a new architecture named LEarnable Genetic Architecture (LEGA) for learning and evolving solutions for the FJSP, allowing to provide an integration between evolution and learning in an efficient manner within a random search process.
This paper presents Care, a data-driven affective architecture and methodology for learning models of empathy by observing human human social interactions.
We propose a self-organizing neural architecture for incrementally learning to classify human actions from video sequences.
This bio-inspired machine learning architecture for dictionary learning and sparse classification permits fewer costly physical strain sensors while being simultaneously robust to sensor noise.
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