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» Learning Belief Networks from Data: An Information Theory Ba...
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HCI
2009
13 years 5 months ago
A Visualization Approach for Group Behaviors, Beliefs and Intentions to Support Critical Decisions
During persistent surveillance of a given population in a conflict situation, data management can quickly become unwieldy due to the inundation of low-level information from many, ...
Colleen L. Phillips, Norman D. Geddes, Justin T. S...
SOCIALCOM
2010
13 years 5 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
ACMSE
2005
ACM
14 years 1 months ago
Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory
Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Dong Yu, Deborah A. Frincke
IDA
2003
Springer
14 years 21 days ago
Guided Incremental Construction of Belief Networks
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
14 years 1 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann