Paragraph Number96
15502
| Application | APPARATUS, SYSTEM, AND METHOD FOR GENERATING PATIENT-SPECIFIC DEVICES | ||
|---|---|---|---|
| Matter Number | PER-17 | Reference Case 1 | PER-17 |
| Created | 1/6/24, 10:05 PM | Modified | 1/6/24, 10:05 PM |
Application Number
Content
1. Discriminative models are trained to learn the boundaries between classes. They model the conditional probability of a target variable Y (class), given an observation x: P(Y|X=x) (“probability of Y given X=x”). Discriminative models describe the probability for classifying a given example x into a classy E Y. Discriminative models include, for example, logistic regression, conditional random fields, support vector machines, neural networks, random forests, or perceptrons.
Notes
Added by DJM Jan 2024