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PRL
2008
91views more  PRL 2008»
14 years 11 months ago
Fuzzy relevance vector machine for learning from unbalanced data and noise
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang
ACSAC
2004
IEEE
15 years 3 months ago
.NET Security: Lessons Learned and Missed from Java
Many systems execute untrusted programs in virtual machines (VMs) to limit their access to system resources. Sun introduced the Java VM in 1995, primarily intended as a lightweigh...
Nathanael Paul, David Evans
KES
2004
Springer
15 years 5 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman
MDM
2010
Springer
156views Communications» more  MDM 2010»
15 years 4 months ago
Learning Location Correlation from GPS Trajectories
— People’s location histories imply the location correlation that states the relations between geographical locations in the space of human behavior. With the correlation, we c...
Yu Zheng, Xing Xie
WWW
2007
ACM
16 years 15 days ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz