AIMC Topic: Learning

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Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

IEEE transactions on cybernetics Mar 11, 2022
In this article, we introduce a novel approximate optimal decentralized control scheme for uncertain input-affine nonlinear-interconnected systems. In the proposed scheme, we design a controller and an event-triggering mechanism (ETM) at each subsyst...
Neural Networks, Computer Learning Feedback Policy Nonlinear Dynamics
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Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning.

IEEE transactions on cybernetics Mar 11, 2022
Spikes are the currency in central nervous systems for information transmission and processing. They are also believed to play an essential role in low-power consumption of the biological systems, whose efficiency attracts increasing attentions to th...
Neural Networks, Computer Learning Neurons
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A differential Hebbian framework for biologically-plausible motor control.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2022
In this paper we explore a neural control architecture that is both biologically plausible, and capable of fully autonomous learning. It consists of feedback controllers that learn to achieve a desired state by selecting the errors that should drive ...
Neural Networks, Computer Learning Feedback Models, Neurological Reinforcement, Psychology
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Augmented Graph Neural Network with hierarchical global-based residual connections.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2022
Graph Neural Networks (GNNs) are powerful architectures for learning on graphs. They are efficient for predicting nodes, links and graphs properties. Standard GNN variants follow a message passing schema to update nodes representations using informat...
Neural Networks, Computer Algorithms Learning Computational Biology Attention
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Test Strategy Optimization Based on Soft Sensing and Ensemble Belief Measurement.

Sensors (Basel, Switzerland) Mar 10, 2022
Resulting from the short production cycle and rapid design technology development, traditional prognostic and health management (PHM) approaches become impractical and fail to match the requirement of systems with structural and functional complexity...
Humans Machine Learning Prognosis Learning
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Lifelong 3D object recognition and grasp synthesis using dual memory recurrent self-organization networks.

Neural networks : the official journal of the International Neural Network Society Mar 8, 2022
Humans learn to recognize and manipulate new objects in lifelong settings without forgetting the previously gained knowledge under non-stationary and sequential conditions. In autonomous systems, the agents also need to mitigate similar behaviour to ...
Humans Neural Networks, Computer Machine Learning Learning Hand Strength Visual Perception
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Learning online visual invariances for novel objects via supervised and self-supervised training.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2022
Humans can identify objects following various spatial transformations such as scale and viewpoint. This extends to novel objects, after a single presentation at a single pose, sometimes referred to as online invariance. CNNs have been proposed as a c...
Humans Neural Networks, Computer Learning Rotation
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Effective Transfer Learning with Label-Based Discriminative Feature Learning.

Sensors (Basel, Switzerland) Mar 4, 2022
The performance of natural language processing with a transfer learning methodology has improved by applying pre-training language models to downstream tasks with a large number of general data. However, because the data used in pre-training are irre...
Machine Learning Language Learning Cluster Analysis Natural Language Processing
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Intelligent virtual case learning system based on real medical records and natural language processing.

BMC medical informatics and decision making Mar 4, 2022
BACKGROUND: Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medical students is an important research topic in recent years. Prominent medical universities are acti...
Humans Artificial Intelligence Learning Students, Medical Natural Language Processing Medical Records
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Universality of gradient descent neural network training.

Neural networks : the official journal of the International Neural Network Society Mar 2, 2022
It has been observed that design choices of neural networks are often crucial for their successful optimization. In this article, we therefore discuss the question if it is always possible to redesign a neural network so that it trains well with grad...
Neural Networks, Computer Algorithms Learning
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