589 search results - page 23 / 118 » An Integrated Instance-Based Learning Algorithm |
KDD
2001
ACM
14 years 11 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
ICPR
2008
IEEE
15 years 1 days ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
SIGMOD
2010
ACM
14 years 3 months ago
2010
ACM
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
PRICAI
2004
Springer
14 years 4 months ago
2004
Springer
When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two ca...