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ICNC
2005
Springer
15 years 3 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
INFOCOM
2012
IEEE
13 years 6 days ago
VDN: Virtual machine image distribution network for cloud data centers
—Cloud computing centers face the key challenge of provisioning diverse virtual machine instances in an elastic and scalable manner. To address this challenge, we have performed ...
Chunyi Peng, Minkyong Kim, Zhe Zhang, Hui Lei
CCS
2008
ACM
14 years 11 months ago
VEP: a virtual machine for extended proof-carrying code
One of the key issues with the practical applicability of Proof-Carrying Code (PCC) and its related methods is the difficulty in communicating the proofs which are inherently larg...
Heidar Pirzadeh, Danny Dubé
CORR
2006
Springer
143views Education» more  CORR 2006»
14 years 9 months ago
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, G...
INFORMS
2000
54views more  INFORMS 2000»
14 years 9 months ago
Time-Indexed Formulations for Machine Scheduling Problems: Column Generation
Time-indexed formulations for machine scheduling problems have received a great deal of attention; not only do the linear programming relaxations provide strong lower bounds, but ...
Marjan van den Akker, Cor A. J. Hurkens, Martin W....