Sciweavers

150 search results - page 6 / 30
» Adapting two-class support vector classification methods to ...
Sort
View
PR
2006
229views more  PR 2006»
13 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
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 9 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
IPM
2002
106views more  IPM 2002»
13 years 8 months ago
A feature mining based approach for the classification of text documents into disjoint classes
This paper proposes a new approach for classifying text documents into two disjoint classes. The new approach is based on extracting patterns, in the form of two logical expressio...
Salvador Nieto Sánchez, Evangelos Triantaph...
KDD
2006
ACM
181views Data Mining» more  KDD 2006»
14 years 9 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
ICML
2004
IEEE
14 years 9 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer