55 search results - page 3 / 11 » Feature Selection via Maximizing Fuzzy Dependency |
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
FUZZIEEE
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
IJDAR
2006
14 years 9 months ago
2006
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...
FSKD
2007
Springer
15 years 3 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...