19 search results - page 1 / 4 » Scalable Inductive Learning on Partitioned Data |
ISMIS
2005
Springer
13 years 10 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
IJCAI
2003
13 years 6 months ago
2003
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
JMLR
2010
12 years 11 months ago
2010
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
ECML
1997
Springer
13 years 9 months ago
1997
Springer
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...