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DIS
2004
Springer
13 years 10 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
13 years 9 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
IDA
2003
Springer
13 years 10 months 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...
ISBI
2004
IEEE
14 years 5 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
ACSC
2006
IEEE
13 years 11 months ago
Using formal concept analysis with an incremental knowledge acquisition system for web document management
It is necessary to provide a method to store Web information effectively so it can be utilised as a future knowledge resource. A commonly adopted approach is to classify the retri...
Timothy J. Everts, Sung Sik Park, Byeong Ho Kang