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IJCNN
2000
IEEE
14 years 2 months ago
Knowledge-Based Cascade-Correlation
KBCC is an extension of the cascade-correlation algorithm that treats functions encapsulating prior knowledge as black-boxes which, like simple sigmoidal neurons, can be recruited...
Thomas R. Shultz, François Rivest
DLOG
2006
13 years 11 months ago
Handling Imprecise Knowledge with Fuzzy Description Logic
Fuzzy Description Logics have been proposed in the literature as a way to represent and reason with vague and imprecise knowledge. Their decidability, the empirically tractable an...
Giorgos Stoilos, Giorgos B. Stamou, Jeff Z. Pan
AAAI
2007
14 years 18 days ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman
DIS
2006
Springer
14 years 7 days ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
Laurent Brisson
STOC
1998
ACM
105views Algorithms» more  STOC 1998»
14 years 2 months ago
Concurrent Zero-Knowledge
Abstract. Loosely speaking, an interactive proof is said to be zeroknowledge if the view of every “efficient” verifier can be “efficiently” simulated. An outstanding open ...
Cynthia Dwork, Moni Naor, Amit Sahai