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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
SAFECOMP
2000
Springer
15 years 10 months ago
Assessment of the Reliability of Fault-Tolerant Software: A Bayesian Approach
Fault tolerant systems based on the use of software design diversity may be able to achieve high levels of reliability more cost-effectively than other approaches, such as heroic ...
Bev Littlewood, Peter T. Popov, Lorenzo Strigini
COLT
1995
Springer
15 years 10 months ago
Learning with Unreliable Boundary Queries
We introduce a new model for learning with membership queries in which queries near the boundary of a target concept may receive incorrect or “don’t care” responses. In part...
Avrim Blum, Prasad Chalasani, Sally A. Goldman, Do...
COMPGEOM
1995
ACM
15 years 10 months ago
A Comparison of Sequential Delaunay Triangulation Algorithms
This paper presents an experimental comparison of a number of different algorithms for computing the Deluanay triangulation. The algorithms examined are: Dwyer’s divide and conq...
Peter Su, Robert L. (Scot) Drysdale III
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 10 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
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