Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with Search options user 41401

Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.

2
votes
1answer
for the matrix $Q$, we have: $Q_{ij}=y_iy_j\text{kernel}(x_i,x_j)$. This optimization program is resulted by taking the dual of the hinge-loss-based SVM with $L_2$ regularization. Now here is my … regularizing $\alpha$. For example, if for what ever reasons we want to force the algorithm to introduce less support vectors, then adding an $L_1$ regularization on $\alpha$ would be usefull right? I.e …
asked Feb 1 '15 by Alt