Paragraph 96
Paragraph 96
Matter Number
PER-17
Paragraph Number
96
Application Number
—
Reference Case 1
PER-17
Reference Case 2
—
Created
1/6/24, 10:05 PM
Modified
1/6/24, 10:05 PM
Id
15,502
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