Sciweavers

Share
PR   2006
Wall of Fame | Most Viewed PR-2006 Paper
PR
2006
229views more  PR 2006»
8 years 9 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source229
2Download preprint from source209
3Download preprint from source168
4Download preprint from source167
5Download preprint from source164
6Download preprint from source161
7Download preprint from source155
8Download preprint from source154
9Download preprint from source152
10Download preprint from source147
11Download preprint from source145
12Download preprint from source141
13Download preprint from source132
14Download preprint from source131
15Download preprint from source127
16Download preprint from source127
17Download preprint from source125
18Download preprint from source122
19Download preprint from source122
20Download preprint from source120
21Download preprint from source119
22Download preprint from source119
23Download preprint from source119
24Download preprint from source117
25Download preprint from source116
26Download preprint from source116
27Download preprint from source115
28Download preprint from source115
29Download preprint from source114
30Download preprint from source113
31Download preprint from source112
32Download preprint from source112
33Download preprint from source111
34Download preprint from source111
35Download preprint from source110
36Download preprint from source108
37Download preprint from source107
38Download preprint from source106
39Download preprint from source102
40Download preprint from source101
41Download preprint from source101
42Download preprint from source100
43Download preprint from source99
44Download preprint from source99
45Download preprint from source99
46Download preprint from source98
47Download preprint from source95
48Download preprint from source95
49Download preprint from source93
50Download preprint from source89
51Download preprint from source89
52Download preprint from source88
53Download preprint from source88
54Download preprint from source88
55Download preprint from source87
56Download preprint from source85
57Download preprint from source84
58Download preprint from source84
59Download preprint from source84
60Download preprint from source83
61Download preprint from source81
62Download preprint from source80
63Download preprint from source80
64Download preprint from source78
65Download preprint from source77
66Download preprint from source76
67Download preprint from source76
68Download preprint from source75
69Download preprint from source69
70Download preprint from source68
71Download preprint from source65
72Download preprint from source65
73Download preprint from source64
74Download preprint from source57
books