18488951. PERFORMING CLASSIFICATION TASKS USING POST-HOC ESTIMATORS FOR EXPERT DEFERRAL simplified abstract (GOOGLE LLC)
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 18488951 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 address the cost of deferring 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
- Addresses cost of deferring model inputs to an expert system for classification
Potential Applications
The technology could be applied in various industries such as healthcare, finance, and cybersecurity for improving classification accuracy and reducing costs associated with expert system consultations.
Problems Solved
1. Cost of deferring model inputs to an expert system for classification 2. Improving classification accuracy by accounting for deferral in the post-hoc stage
Benefits
1. Enhanced classification accuracy 2. Cost savings by optimizing the deferral process 3. Improved efficiency in classification tasks
Potential Commercial Applications
Optimizing classification tasks in industries such as healthcare, finance, and cybersecurity to improve accuracy and reduce costs.
Possible Prior Art
Prior art may include existing systems or methods for post-hoc correction or training in classification tasks, but specific details would need to be researched further.
Unanswered Questions
How does this technology compare to existing post-hoc deferral methods in classification tasks?
The article does not provide a direct comparison with existing methods, making it unclear how this innovation stands out in the field.
What are the specific technical requirements for implementing this system in different industries?
The article does not delve into the technical specifications or requirements for integrating this technology into various industry applications, leaving a gap in understanding the practical implementation process.
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.
