AIMC Topic: Learning

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Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

PLoS computational biology May 2, 2023
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. A particular type o...
Neuronal Plasticity Models, Neurological Memory Neural Networks, Computer Mental Recall Action Potentials Learning Animals Neurons
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A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions.

Sensors (Basel, Switzerland) Apr 28, 2023
Multimodal emotion recognition has gained much traction in the field of affective computing, human-computer interaction (HCI), artificial intelligence (AI), and user experience (UX). There is growing demand to automate analysis of user emotion toward...
Algorithms Learning Artificial Intelligence Humans Recognition, Psychology Emotions Electroencephalography
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The use of artificial intelligence and game-based learning in removable partial denture design: A comparative study.

Journal of dental education Apr 26, 2023
PURPOSE: The purpose of this study was to compare student performance in removable partial denture (RPD) design during a pre-clinical RPD course with and without using a recently developed computer software named AiDental. Additionally, student perce...
Learning Artificial Intelligence Denture, Partial, Removable Humans Students Software
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Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2023
We prove new generalization bounds for stochastic gradient descent when training classifiers with invariances. Our analysis is based on the stability framework and covers both the convex case of linear classifiers and the non-convex case of homogeneo...
Neural Networks, Computer Generalization, Psychological Learning
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FAST skill assessment from kinematics data using convolutional neural networks.

International journal of computer assisted radiology and surgery Apr 24, 2023
PURPOSE: FAST is a point of care ultrasound study that evaluates for the presence of free fluid, typically hemoperitoneum in trauma patients. FAST is an essential skill for Emergency Physicians. Thus, it requires objective evaluation tools that can r...
Motion Neural Networks, Computer Learning Biomechanical Phenomena Ultrasonography Humans
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Synthetic Model Combination: A new machine-learning method for pharmacometric model ensembling.

CPT: pharmacometrics & systems pharmacology Apr 24, 2023
When aiming to make predictions over targets in the pharmacological setting, a data-focused approach aims to learn models based on a collection of labeled examples. Unfortunately, data sharing is not always possible, and this can result in many diffe...
Algorithms Learning Humans Machine Learning
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Memristor-Based Neural Network Circuit With Multimode Generalization and Differentiation on Pavlov Associative Memory.

IEEE transactions on cybernetics Apr 21, 2023
Most of the classical conditioning laws implemented by existing circuits are involved in learning and forgetting between only three neurons, and the problems between multiple neurons are not considered. In this article, a multimode generalization and...
Neurons Conditioning, Classical Neural Networks, Computer Brain Learning
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Optimal H tracking control of nonlinear systems with zero-equilibrium-free via novel adaptive critic designs.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2023
In this paper, a novel adaptive critic control method is designed to solve an optimal H tracking control problem for continuous nonlinear systems with nonzero equilibrium based on adaptive dynamic programming (ADP). To guarantee the finiteness of a c...
Algorithms Learning Feedback Nonlinear Dynamics Neural Networks, Computer
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Basis operator network: A neural network-based model for learning nonlinear operators via neural basis.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2023
It is widely acknowledged that neural networks can approximate any continuous (even measurable) functions between finite-dimensional Euclidean spaces to arbitrary accuracy. Recently, the use of neural networks has started emerging in infinite-dimensi...
Learning Neural Networks, Computer
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Revisiting the video deficit in technology-saturated environments: Successful imitation from people, screens, and social robots.

Journal of experimental child psychology Apr 15, 2023
The "video deficit" is a well-documented effect whereby children learn less well about information delivered via a screen than the same information delivered in person. Research suggests that increasing social contingency may ameliorate this video de...
Social Interaction Imitative Behavior Robotics Infant Child, Preschool Child Australia Humans Learning
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