Research on Payment Settlement Mode in Cross-Border Business Trade Based on Blockchain Technology

Abstract: Deep neural networks can now generate real-world data. To overcome the posterior distribution’s intractability, implicit probabilistic models that generate data stochastically have been introduced. However, data modeling requires deep statistical dependence knowledge, which can…

Abstract: Clinical criteria—bradykinesia, rest tremor, rigidity—diagnose Parkinson’s disease (PD). Clinical rating scales for PD severity are subject to inter-rater variability. This paper proposes a deep learning-based automatic PD diagnosis method using videos for clinical use….

Abstract: Self-Sovereign Identity (SSI) is a novel and emerging decentralized digital identity approach that allows entities to control and manage their digital identifiers and identity data while improving trust, privacy, security, and many other properties…

Machine Learning Projects with Source Code: Approach Source code projects teach machine learning. Ameerpet, an Indian IT training institute, provides students with source code for machine learning projects to explore new trends and techniques. Comprehensive…

Abstract: Kernel methods have thrived for 20 years. Big data has greatly increased data collection. Existing kernel methods are not scalable for training or predicting. This paper introduces a general sparse kernel learning formulation based…

Abstract: Meta-learning, or learning-to-learn, has exploded in popularity. Meta-learning uses multiple learning episodes to improve the learning algorithm, unlike traditional AI approaches that start from scratch. This paradigm can address data, computation, and generalization bottlenecks…