13 search results - page 1 / 3 » Missing Values and Learning of Fuzzy Rules |
IJUFKS
1998
13 years 6 months ago
1998
FUZZIEEE
2007
IEEE
14 years 18 days ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
IDEAL
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
RSCTC
2000
Springer
13 years 9 months ago
2000
Springer
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
ECML
2007
Springer
14 years 13 days ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...