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Construction of College Students' Employment Quality Evaluation Model System under the Background of Digitalization.

Journal of environmental and public health
In the era of knowledge economy, human resources are being valued by various countries and regions. The report of the 19th National Congress of the Communist Party of China pointed out that "talent is a strategic resource for realizing national rejuv...

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.

IEEE transactions on cybernetics
For multimodal representation learning, traditional black-box approaches often fall short of extracting interpretable multilayer hidden structures, which contribute to visualize the connections between different modalities at multiple semantic levels...

Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.

IEEE transactions on cybernetics
This article proposes an effective optimal bounded ellipsoid (OBE) identification algorithm for neural networks to reconstruct the dynamics of the uncertain Euler-Lagrange systems. To address the problem of unbounded growth or vanishing of the learni...

Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks.

IEEE transactions on cybernetics
In convolutional neural networks (CNNs), generating noise for the intermediate feature is a hot research topic in improving generalization. The existing methods usually regularize the CNNs by producing multiplicative noise (regularization weights), c...

Deep Latent-Variable Kernel Learning.

IEEE transactions on cybernetics
Deep kernel learning (DKL) leverages the connection between the Gaussian process (GP) and neural networks (NNs) to build an end-to-end hybrid model. It combines the capability of NN to learn rich representations under massive data and the nonparametr...

Wasserstein Adversarial Regularization for Learning With Label Noise.

IEEE transactions on pattern analysis and machine intelligence
Noisy labels often occur in vision datasets, especially when they are obtained from crowdsourcing or Web scraping. We propose a new regularization method, which enables learning robust classifiers in presence of noisy data. To achieve this goal, we p...

Lifelong Teacher-Student Network Learning.

IEEE transactions on pattern analysis and machine intelligence
A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems are good at learning only the last given task without being able to remem...

Integrating Mental Health Education into French Teaching in University Based on Artificial Intelligence Technology.

Journal of environmental and public health
In recent years, there has been a lot of news about college students committing suicide. In the university stage students, self-esteem is stronger and more sensitive, and the ability to withstand pressure is weak. At the same time, college students a...

Biologically plausible single-layer networks for nonnegative independent component analysis.

Biological cybernetics
An important problem in neuroscience is to understand how brains extract relevant signals from mixtures of unknown sources, i.e., perform blind source separation. To model how the brain performs this task, we seek a biologically plausible single-laye...

Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: The expanded use of clinical tools that incorporate artificial intelligence (AI) methods has generated calls for specific competencies for effective and ethical use. This qualitative study used expert interviews to define AI-related clinical...