Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Learning sparsity-constrained gaussian graphical models in anomaly detection

Learning sparsity-constrained gaussian graphical models in anomaly detection

US Patent 11216743 · Granted Jan 4, 2022

Estimated economic value: $22,913,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Federated learning for training machine learning models2025
Federated learning for training machine learning models2025
Automated generation of optimization model for system-wide plant optimization2025
Unsupervised learning from public tabular datasets2025
Blending graph predictions2025
Reasonable language model learning for text generation from a knowledge graph2025
Providing a semantic encoding and language neural network2025
Asset replacement optimization based on predicted risk of failure2025
Intelligent dynamic condition-based infrastructure maintenance scheduling2024
Dynamic and continuous composition of features extraction and learning operation2024
Computer analysis of remotely detected images for image identification2024
Prediction and operational efficiency for system-wide optimization of an industr2024