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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
HICSS
2002
IEEE
140views Biometrics» more  HICSS 2002»
15 years 4 months ago
Intelligent Student Profiling with Fuzzy Models
Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack...
Dongming Xu, Huaiqing Wang, Kaile Su
FLAIRS
2004
15 years 1 months ago
Inducing Fuzzy Decision Trees in Non-Deterministic Domains using CHAID
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
Jay Fowdar, Zuhair Bandar, Keeley A. Crockett
ENGL
2007
148views more  ENGL 2007»
14 years 11 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
VTC
2010
IEEE
185views Communications» more  VTC 2010»
14 years 9 months ago
Fuzzy Logic Aided Dynamic Source Routing in Cross-Layer Operation Assisted Ad Hoc Networks
1The classic Dynamic Source Routing (DSR) protocol opts for the route requiring the lowest number of hops for transmitting data from the source to the destination. However, owing t...
Jing Zuo, Soon Xin Ng, Lajos Hanzo