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DIAGRAMS
2004
Springer
15 years 9 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
15 years 8 months ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
AAMAS
2012
Springer
14 years 5 days ago
Winner determination in voting trees with incomplete preferences and weighted votes
In multiagent settings where agents have different preferences, preference aggregation can be an important issue. Voting is a general method to aggregate preferences. We consider ...
Jérôme Lang, Maria Silvia Pini, Franc...
ICIC
2009
Springer
15 years 2 months ago
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation
In this paper we present a study on the Random Forest (RF) family of ensemble methods. From our point of view, a "classical" RF induction process presents two main drawba...
Simon Bernard, Laurent Heutte, Sébastien Ad...
FSTTCS
2004
Springer
15 years 9 months ago
Decidability of MSO Theories of Tree Structures
In this paper we provide an automaton-based solution to the decision problem for a large set of monadic second-order theories of deterministic tree structures. We achieve it in two...
Angelo Montanari, Gabriele Puppis