-
Notifications
You must be signed in to change notification settings - Fork 0
/
info.json
19 lines (19 loc) · 891 Bytes
/
info.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
{
"abstract": "We introduce a framework for feature selection based on dependence maximization between the selected features and the labels of an estimation problem, using the Hilbert-Schmidt Independence Criterion. The key idea is that good features should be highly dependent on the labels. Our approach leads to a greedy procedure for feature selection. We show that a number of existing feature selectors are special cases of this framework. Experiments on both artificial and real-world data show that our feature selector works well in practice.",
"authors": [
"Le Song",
"Alex Smola",
"Arthur Gretton",
"Justin Bedo",
"Karsten Borgwardt"
],
"id": "song12a",
"issue": 47,
"pages": [
1393,
1434
],
"title": "Feature Selection via Dependence Maximization",
"volume": "13",
"year": "2012"
}