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» Multi-Class Confidence Weighted Algorithms
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ICANN
2003
Springer
13 years 10 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar
FLAIRS
2008
13 years 7 months ago
Extending Nearest Neighbor Classification with Spheres of Confidence
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
Ulf Johansson, Henrik Boström, Rikard Kö...
IJNSEC
2008
78views more  IJNSEC 2008»
13 years 5 months ago
Fault Tolerant Weighted Voting Algorithms
Agreement algorithms can be categorized in different ways. One categorization of such algorithms is based on whether the final decisions are exact or inexact. In inexact algorithm...
Azad H. Azadmanesh, Alireza Farahani, Lotfi Najjar
APIN
2006
168views more  APIN 2006»
13 years 5 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
ICML
2004
IEEE
14 years 6 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...