AIMC Topic:
Learning

Clear Filters Showing 1221 to 1230 of 1372 articles

Learning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Discovering knowledge and effectively predicting target events are two main goals of medical text mining. However, few models can achieve them simultaneously. In this study, we investigated the possibility of discovering knowledge and predicting diag...
Humans Neural Networks, Computer Language Learning Semantics Knowledge Discovery
View on PubMed DOI

Deep transfer learning-based variable Doppler underwater acoustic communications.

The Journal of the Acoustical Society of America Jul 1, 2023
This paper proposes a deep transfer learning (DTL)-based variable Doppler frequency-hopping binary frequency-shift keying underwater acoustic communication system. The system uses a convolutional neural network (CNN) as the demodulation module of the...
Neural Networks, Computer Machine Learning Computer Simulation Learning Acoustics
View on PubMed DOI

Reinforcement learning relieves the vaccination dilemma.

Chaos (Woodbury, N.Y.) Jul 1, 2023
The main goal of this paper is to study how a decision-making rule for vaccination can affect epidemic spreading by exploiting the Bush-Mosteller (BM) model, one of the methodologies in reinforcement learning in artificial intelligence (AI), which ca...
Humans Artificial Intelligence Learning Vaccination Costs and Cost Analysis Epidemics
View on PubMed DOI

Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks.

Physical review letters Jun 2, 2023
Quantum convolutional neural networks (QCNNs) have been introduced as classifiers for gapped quantum phases of matter. Here, we propose a model-independent protocol for training QCNNs to discover order parameters that are unchanged under phase-preser...
Neural Networks, Computer Learning
View on PubMed DOI

A data-driven framework for learning hybrid dynamical systems.

Chaos (Woodbury, N.Y.) Jun 1, 2023
The existing data-driven identification methods for hybrid dynamical systems such as sparse optimization are usually limited to parameter identification for coefficients of pre-defined candidate functions or composition of prescribed function forms, ...
Neural Networks, Computer Algorithms Learning Time Factors
View on PubMed DOI

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

Studies in health technology and informatics May 18, 2023
To classify sentences in cardiovascular German doctor's letters into eleven section categories, we used pattern-exploiting training, a prompt-based method for text classification in few-shot learning scenarios (20, 50 and 100 instances per class) usi...
Machine Learning Language Learning Natural Language Processing
View on PubMed DOI

Leveraging ResNet and label distribution in advanced intelligent systems for facial expression recognition.

Mathematical biosciences and engineering : MBE Apr 24, 2023
With the development of AI (Artificial Intelligence), facial expression recognition (FER) is a hot topic in computer vision tasks. Many existing works employ a single label for FER. Therefore, the label distribution problem has not been considered fo...
Artificial Intelligence Databases, Factual Learning Facial Expression Facial Recognition
View on PubMed DOI

Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning.

Mathematical biosciences and engineering : MBE Apr 10, 2023
For constrained image-based visual servoing (IBVS) of robot manipulators, a model predictive control (MPC) strategy tuned by reinforcement learning (RL) is proposed in this study. First, model predictive control is used to transform the image-based v...
Algorithms Computer Simulation Learning Robotics
View on PubMed DOI

Generation Learning Differences in Surgery: Why They Exist, Implication, and Future Directions.

The Surgical clinics of North America Apr 1, 2023
The evolution of the knowledge economy and technology industry have fundamentally changed the learning environments occupied by contemporary surgical trainees and created pressures that will force the surgical community to consider. Although some lea...
Humans Artificial Intelligence Learning Surgeons
View on PubMed DOI

NeuroAI: If grid cells are the answer, is path integration the question?

Current biology : CB Mar 13, 2023
Spatially modulated neurons known as grid cells are thought to play an important role in spatial cognition. A new study has found that units with grid-cell-like properties can emerge within artificial neural networks trained to path integrate, and de...
Neural Networks, Computer Learning Cognition Models, Neurological Action Potentials Neurons Space Perception Entorhinal Cortex
View on PubMed DOI
Popular Topics
Recent Journals