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» A Learning Algorithm for Multiple Rule Trees
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TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
WABI
2009
Springer
127views Bioinformatics» more  WABI 2009»
14 years 2 months ago
Constructing Majority-Rule Supertrees
Background: Supertree methods combine the phylogenetic information from multiple partially-overlapping trees into a larger phylogenetic tree called a supertree. Several supertree ...
Jianrong Dong, David Fernández-Baca, Fred R...
ICML
1990
IEEE
13 years 11 months ago
An Incremental Method for Finding Multivariate Splits for Decision Trees
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
Paul E. Utgoff, Carla E. Brodley
AAAI
2011
12 years 7 months ago
Tree Sequence Kernel for Natural Language
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
Jun Sun, Min Zhang, Chew Lim Tan
BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
GIGA: a simple, efficient algorithm for gene tree inference in the genomic age
Background: Phylogenetic relationships between genes are not only of theoretical interest: they enable us to learn about human genes through the experimental work on their relativ...
Paul D. Thomas