13 search results - page 2 / 3 » Missing Values and Learning of Fuzzy Rules |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
EUSFLAT
2003
13 years 9 months ago
2003
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
IEAAIE
2010
Springer
13 years 5 months ago
2010
Springer
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
UAI
1997
13 years 9 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...