Google llc (20240135254). PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL simplified abstract
Contents
- 1 PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL
Organization Name
Inventor(s)
Harikrishna Narasimhan of Sunnyvale CA (US)
Wittawat Jitkrittum of Atlanta GA (US)
Aditya Krishna Menon of New York NY (US)
Ankit Singh Rawat of New York NY (US)
Sanjiv Kumar of Jericho NY (US)
PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135254 titled 'PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL
Simplified Explanation
The patent application describes methods, systems, and apparatus for post-hoc deferral for classification tasks, specifically focusing on post-hoc threshold correction or post-hoc rejector training to defer model inputs to an expert system for classification.
- Post-hoc deferral for classification tasks
- System can perform post-hoc threshold correction or post-hoc rejector training
- Defers model inputs to an expert system for classification
Potential Applications
This technology could be applied in various fields such as healthcare, finance, and security for accurate classification tasks.
Problems Solved
This technology solves the issue of inaccurate classification results by deferring model inputs to an expert system for further analysis and correction.
Benefits
The benefits of this technology include improved classification accuracy, reduced errors, and enhanced decision-making processes.
Potential Commercial Applications
Potential commercial applications of this technology include automated fraud detection systems, medical diagnosis tools, and security screening processes.
Possible Prior Art
One possible prior art could be the use of post-hoc correction techniques in machine learning models to improve classification accuracy.
Unanswered Questions
How does this technology compare to existing classification deferral methods?
This article does not provide a direct comparison with existing classification deferral methods, leaving the reader to wonder about the specific advantages and disadvantages of this technology in comparison to others.
What are the specific technical requirements for implementing this technology?
The article does not delve into the technical requirements for implementing this technology, leaving readers curious about the resources and expertise needed to adopt and utilize this system effectively.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for post-hoc deferral for classification tasks. in particular, a system can perform either post-hoc threshold correction or post-hoc rejector training to account for the cost of deferring model inputs to an expert system for classification.
