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81
Voted
KDD
2009
ACM
15 years 5 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
111
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WKDD
2010
CPS
15 years 6 months ago
2010
CPS
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
108
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
91
Voted
VL
2009
IEEE
15 years 7 months ago
2009
IEEE
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...
102
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SGAI
2007
Springer
15 years 6 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...