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FLAIRS
2006
14 years 11 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
NLP
2000
15 years 1 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
ICTAI
2007
IEEE
15 years 4 months ago
Harnessing Ontologies for Argument-Based Decision-Making in Breast Cancer
We introduce a novel Ontology-based Argumentation Framework (OAF) that links a logic-based argumentation formalism and description logic ontologies. We show how these two formalis...
Matt Williams, Anthony Hunter
KBS
2002
141views more  KBS 2002»
14 years 9 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
CADE
2007
Springer
15 years 10 months ago
Bidirectional Decision Procedures for the Intuitionistic Propositional Modal Logic IS4
We present a multi-context focused sequent calculus whose derivations are in bijective correspondence with normal natural deductions in the propositional fragment of the intuitioni...
Samuli Heilala, Brigitte Pientka