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» Regularization and feature selection for networked features
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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 3 days ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 8 days ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
PERCOM
2003
ACM
15 years 11 months ago
PILGRIM: A Location Broker and Mobility-Aware Recommendation System
Mobile computing adds a mostly unexplored dimension to data mining: user's position is a relevant piece of information, and recommendation systems, selecting and ranking link...
Mauro Brunato, Roberto Battiti
DSN
2008
IEEE
15 years 6 months ago
Using likely program invariants to detect hardware errors
In the near future, hardware is expected to become increasingly vulnerable to faults due to continuously decreasing feature size. Software-level symptoms have previously been used...
Swarup Kumar Sahoo, Man-Lap Li, Pradeep Ramachandr...
CNSR
2007
IEEE
15 years 6 months ago
Testing Intrusion Detection Systems in MANET: A Comprehensive Study
In this paper, we study the problem of testing Intrusion Detection Systems (IDS) in Mobile Ad hoc Networks (MANET). Testing is achieved by simulating different measurements. We mo...
Hadi Otrok, Joey Paquet, Mourad Debbabi, Prabir Bh...