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157
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
139
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
131
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
153
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
157
click to vote
KDD
2009
ACM
16 years 4 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...