AIMC Topic: Learning

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Construction and Computation of the College English Teaching Path in the Artificial Intelligence Teaching Environment.

Computational intelligence and neuroscience Sep 30, 2022
Today, English is the world's main international language and is widely spoken. In this context, the learning of English has long been valued by all countries. In addition, English plays an essential role in the process of economic globalization, spe...
Humans Artificial Intelligence Language Learning Speech Intelligence Teaching
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A Framework and Algorithm for Human-Robot Collaboration Based on Multimodal Reinforcement Learning.

Computational intelligence and neuroscience Sep 28, 2022
Despite the emergence of various human-robot collaboration frameworks, most are not sufficiently flexible to adapt to users with different habits. In this article, a Multimodal Reinforcement Learning Human-Robot Collaboration (MRLC) framework is prop...
Humans Algorithms Learning Robotics Reinforcement, Psychology
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Convolutional Neural Networks Quantization with Double-Stage Squeeze-and-Threshold.

International journal of neural systems Sep 26, 2022
It has been proven that, compared to using 32-bit floating-point numbers in the training phase, Deep Convolutional Neural Networks (DCNNs) can operate with low-precision during inference, thereby saving memory footprint and power consumption. However...
Neural Networks, Computer Learning
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General object-based features account for letter perception.

PLoS computational biology Sep 26, 2022
After years of experience, humans become experts at perceiving letters. Is this visual capacity attained by learning specialized letter features, or by reusing general visual features previously learned in service of object categorization? To explore...
Humans Neural Networks, Computer Learning Visual Perception Pattern Recognition, Visual
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A path planning approach for mobile robots using short and safe Q-learning.

PloS one Sep 26, 2022
Path planning is a major challenging problem for mobile robots, as the robot is required to reach the target position from the starting position while simultaneously avoiding conflicts with obstacles. This paper refers to a novel method as short and ...
Algorithms Computer Simulation Learning Robotics
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Time series (re)sampling using Generative Adversarial Networks.

Neural networks : the official journal of the International Neural Network Society Sep 23, 2022
We propose a novel bootstrap procedure for time series data based on Generative Adversarial networks (GANs). We show that the dynamics of common stationary time series processes can be learned by GANs and demonstrate that GANs trained on a single sam...
Neural Networks, Computer Learning Time Factors Image Processing, Computer-Assisted Normal Distribution
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Not all edges are peers: Accurate structure-aware graph pooling networks.

Neural networks : the official journal of the International Neural Network Society Sep 23, 2022
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in graph-related tasks. For graph classification task, an elaborated pooling operator is vital for learning graph-level representations. Most pooling operators derived from exist...
Neural Networks, Computer Learning
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Self-supervised graph neural network with pre-training generative learning for recommendation systems.

Scientific reports Sep 23, 2022
The case assignment system is an essential system of case management and assignment within the procuratorate and is an important aspect of judicial fairness and efficiency. However, existing methods mostly use manual or random case assignment, which ...
Neural Networks, Computer Algorithms Research Design Learning Supervised Machine Learning
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Interaction with a reactive partner improves learning in contrast to passive guidance.

Scientific reports Sep 22, 2022
Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physical assistance from a partner. While this assistance may be provided by a robotic interface, how to implement the necessary haptic support to help impr...
Humans Algorithms Learning Robotics Movement
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Digital Media Teaching and Effectiveness Evaluation Integrating Big Data and Artificial Intelligence.

Computational intelligence and neuroscience Sep 22, 2022
With the development of digital media technology, its application in teaching and learning is becoming more widespread. Digital media technology helps present information in transmitting knowledge or skills, reduces cognitive load, and promotes under...
Neural Networks, Computer Artificial Intelligence Learning Big Data Internet Teaching
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