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SUM
2009
Springer
16 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
EXPDB
2006
ACM
16 years 13 days ago
Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
Bishwaranjan Bhattacharjee
SAINT
2005
IEEE
16 years 1 days ago
Memory Management of Density-Based Spam Detector
The volume of mass unsolicited electronic mail, often known as spam, has recently increased enormously and has become a serious threat to not only the Internet but also to society...
Kenichi Yoshida, Fuminori Adachi, Takashi Washio, ...
HIM
1997
Springer
169views Multimedia» more  HIM 1997»
15 years 10 months ago
High Precision Hypertext Navigation Based on NLP Automatic Extractions
The growing popularity of hypertext navigation systems and the availability of large documentary databases is leading to the design of navigation systems that allow to explore the...
Frantz Vichot, Francis Wolinski, Joseph Tomeh, Syl...
IPMU
2010
Springer
15 years 10 months ago
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks
Abstract. Credal sets are closed convex sets of probability mass functions. The lower probabilities specified by a credal set for each element of the power set can be used as cons...
Alessandro Antonucci, Fabio Cuzzolin