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ICML
2004
IEEE
15 years 10 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
EVOW
2010
Springer
15 years 4 months ago
Top-Down Induction of Phylogenetic Trees
We propose a novel distance based method for phylogenetic tree reconstruction. Our method is based on a conceptual clustering method that extends the well-known decision tree learn...
Celine Vens, Eduardo Costa, Hendrik Blockeel
CPM
2004
Springer
84views Combinatorics» more  CPM 2004»
15 years 3 months ago
Small Phylogeny Problem: Character Evolution Trees
Abstract. Phylogenetics is a science of determining connections between groups of organisms in terms of ancestor/descendent relationships, usually expressed by phylogenetic trees, ...
Arvind Gupta, Ján Manuch, Ladislav Stacho, ...
AUTONOMICS
2008
ACM
14 years 11 months ago
Building multicast trees in ad-hoc networks
Multicast trees are used in a variety of applications, such as publish/subscribe systems or content distribution networks. Existing algorithms for ad-hoc networks typically produc...
Raphaël Kummer, Peter G. Kropf, Pascal Felber
AAAI
2006
14 years 11 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch