72 search results - page 1 / 15 » Learning Arbiter and Combiner Trees from Partitioned Data fo... |
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
BMCBI
2010
13 years 4 months ago
2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
ICTAI
2006
IEEE
13 years 10 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
CANDC
2005
ACM
13 years 4 months ago
2005
ACM
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...