162 search results - page 9 / 33 » Predicting defects using network analysis on dependency grap... |
95
Voted
SODA
2001
ACM
15 years 1 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
100
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IJCAI
1997
15 years 29 days ago
1997
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
KDD
2009
ACM
15 years 6 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
101
Voted
DSN
2000
IEEE
15 years 3 months ago
2000
IEEE
Survivabilityis the ability of a system to maintain a set of essential services despite the presence of abnormal events such as faults and intrusions. Ensuring system survivabilit...