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» An MDP Approach for Explanation Generation
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WWW
2004
ACM
14 years 8 months ago
Specifying Semantic Email Processes
Prior work has shown that semantic email processes (SEPs) can be an effective tool for automating emailmediated tasks that are currently performed manually in a tedious, time-cons...
Luke McDowell, Oren Etzioni, Alon Y. Halevy
AIIA
2003
Springer
13 years 11 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
APIN
2008
110views more  APIN 2008»
13 years 7 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
KDD
2012
ACM
243views Data Mining» more  KDD 2012»
11 years 10 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
OOPSLA
2010
Springer
13 years 6 months ago
Random testing for higher-order, stateful programs
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination ...
Casey Klein, Matthew Flatt, Robert Bruce Findler