Paragraph Number189
15029
| Application | APPARATUS, SYSTEM, AND METHOD FOR GENERATING PATIENT-SPECIFIC IMPLANTS AND/OR INSTRUMENTATION FOR OSTEOTOMIES | ||
|---|---|---|---|
| Matter Number | PER-12 | Reference Case 1 | PER-12 |
| Created | 1/6/24, 10:03 PM | Modified | 1/6/24, 10:03 PM |
Application Number
Content
With reinforcement learning, input and output pairs can never be presented; reinforcement learning can map a state, e.g. a clinical state of a patient, and can develop predictions, actions or treatment the system can make. With representation learning algorithms input information can be preserved but transformed to make it more useful, e.g. as a pre-processing step, prior to performing classification or predictions, allowing reconstruction of the inputs coming from the unknown data generating distribution.
Notes
Added by DJM Jan 2024