{"@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [{"@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.patentleaderboard.com/"}, {"@type": "ListItem", "position": 2, "name": "Hybrid parallelization strategies for machine learning programs on top of MapReduce", "item": "https://www.patentleaderboard.com/patent/9286044"}]}
Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Hybrid parallelization strategies for machine learning programs on top of MapReduce

Hybrid parallelization strategies for machine learning programs on top of MapReduce

US Patent 9286044 · Granted Mar 15, 2016

Estimated economic value: $3,165,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Adaptive self-adversarial negative sampling for graph neural network training2025
Selecting a high coverage dataset2025
Enhancing artificial intelligence responses with contextual usage insights2025
Generation of training data from redacted information2025
Indoor place prediction2025
Dynamic user profile management2025
Remote sensing interpretation2025
Deep learning of entity resolution rules2025
Characterizing and forecasting evolving query workloads2025
Learning rules and dictionaries with neuro-symbolic artificial intelligence2025
Dynamic user profile projection2024
Forecasting in multivariate irregularly sampled time series with missing values2024