AIMC Topic: Learning

Clear Filters Showing 31 to 40 of 1420 articles

Quantifying the roles of visual, linguistic, and visual-linguistic complexity in noun and verb acquisition.

PloS one
Children often learn the meanings of nouns before they grasp the meanings of verbs. This discrepancy could arise from differences in the complexity of visual characteristics for categories that language describes, the inherent structure of language, ...

Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.

Neural networks : the official journal of the International Neural Network Society
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time delay within a finite time frame. Firstly, the input sharing strategy of such desired competitive neu...

An adaptive feedback system for the improvement of learners.

Scientific reports
Teachers who are aware of their students' strengths and weakness can tailor their teaching methodologies to meet the challenging students efficiently for better results. This helps them to identify any potential learning challenges at an early stage ...

Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...

A neural network model for the evolution of reconstructive social learning.

Scientific reports
Learning from others is an important adaptation. However, the evolution of social learning and its role in the spread of socially transmitted information are not well understood. Few models of social learning account for the fact that socially transm...

Construction of a multi-modal digital human education platform based on GAN and vision transformer.

Scientific reports
With the rapid development of artificial intelligence technology, digital human education platforms have become a research hotspot in education. This paper proposes a method to build a multi-modal digital human education platform based on a Generativ...

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers.

Neural networks : the official journal of the International Neural Network Society
Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical and computational neuroscience. Advances in neuroinformatics have recently allowed scientists to embed spiking neural networks of the cerebellum with ...

Red alarm: Controllable backdoor attack in continual learning.

Neural networks : the official journal of the International Neural Network Society
Continual learning (CL) studies the problem of learning a single model from a sequence of disjoint tasks. The main challenge is to learn without catastrophic forgetting, a scenario in which the model's performance on previous tasks degrades significa...

Gated recurrent deep learning approaches to revolutionizing English language learning for personalized instruction and effective instruction.

Scientific reports
Communication is essential for success in today's world, making English language learning (ELL) a crucial skill. Innovative solutions are required to tackle complex language learning issues and meet the various demands of learners. Personalized learn...

Solving two-stage stochastic integer programs via representation learning.

Neural networks : the official journal of the International Neural Network Society
Solving stochastic integer programs (SIPs) is extremely intractable due to the high computational complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) for scenario representation learning. A graph c...