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» Learning with Mixtures of Trees
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EVOW
2010
Springer
14 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
AAAI
2006
13 years 10 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
NIPS
2008
13 years 10 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
ICTAI
1999
IEEE
14 years 1 months ago
Controlled Flux Results in Stable Decision Trees
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
Dimitrios Kalles, Athanassios Papagelis