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Multivariate decision trees using different splitting attribute subsets for large datasets
(2010)
In this paper, we introduce an incremental induction of multivariate decision tree algorithm, called IIMDTS, which allows choosing a different splitting attribute subset in each internal node of the decision tree and it ...
Multivariate decision trees using different splitting attribute subsets for large datasets
(2010)
In this paper, we introduce an incremental induction of multivariate decision tree algorithm, called IIMDTS, which allows choosing a different splitting attribute subset in each internal node of the decision tree and it ...
Decision tree induction using a fast splitting attribute selection for large datasets
(2011)
Several algorithms have been proposed in the literature for building decision trees (DT) for large datasets, however almost all of them have memory restrictions because they need to keep in main memory the whole training ...
A new incremental algorithm for induction of multivariate decision trees for large datasets
(2008)
Several algorithms for induction of decision trees have been developed to solve problems with large datasets, however some of them have spatial and/or runtime problems using the whole training sample for building the tree ...
Low temperature HD+ortho-/para-H2 inelastic scattering of astrophysical interest
(2015-12-04)
State-selected total cross sections and thermal rate coefficients are computed for the HD + ortho-/para-H2 rotational energy transfer collision at low temperatures: 2 K ≲ T ≲ 300 K. A modified H2-H2 potential energy surface ...
Colliding Galaxies
(Wolfram Demonstration Project, 2016)