1662 search results - page 21 / 333 » Generation of Attributes for Learning Algorithms |
PAKDD
2010
ACM
14 years 12 days ago
2010
ACM
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— AIRS (Artificial Immune Recognition System) has shown itself to be a competitive classifier. It has also proved to be the most popular immune inspired classifier. However, rath...
CEC
2007
IEEE
2007
IEEE
Mining association rules from databases with continuous attributes using genetic network programming
13 years 11 months ago
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
NIPS
1997
13 years 9 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...