margin classifier造句
例句與造句
- A margin classifier is a classifier that explicitly utilizes the margin of each example while learning a classifier.
- We focus on the soft-margin classifier since, as noted above, choosing a sufficiently small value for \ lambda yields the hard-margin classifier for linearly classifiable input data.
- We focus on the soft-margin classifier since, as noted above, choosing a sufficiently small value for \ lambda yields the hard-margin classifier for linearly classifiable input data.
- This extends the geometric interpretation of SVM for linear classification, the empirical risk is minimized by any function whose margins lie between the support vectors, and the simplest of these is the max-margin classifier.
- A special property is that they simultaneously minimize the empirical " classification error " and maximize the " geometric margin "; hence they are also known as "'maximum margin classifiers " '.
- It's difficult to find margin classifier in a sentence. 用margin classifier造句挺難的