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ILP
2005
Springer
15 years 11 months ago
Predicate Selection for Structural Decision Trees
Abstract. We study predicate selection functions (also known as splitting rules) for structural decision trees and propose two improvements to existing schemes. The first is in cl...
Kee Siong Ng, John W. Lloyd
DIS
2004
Springer
15 years 9 months ago
Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data
Abstract. Attribute value taxonomies (AVTs) have been used to perform AVT-guided decision tree learning on partially or totally missing data. In many cases, user-supplied AVTs are ...
Jinu Joo, Jun Zhang 0002, Jihoon Yang, Vasant Hona...
FLAIRS
2001
15 years 7 months ago
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study
Therehasbeensurprisinglylittle researchso far that systematicallyinvestigatedthe possibilityof constructinghybrid learningalgorithmsbysimplelocal modificationsto decision tree lea...
Alexander K. Seewald, Johann Petrak, Gerhard Widme...
ANLP
2000
115views more  ANLP 2000»
15 years 7 months ago
Categorizing Unknown Words: Using Decision Trees to Identify Names and Misspellings
This paper introduces a system for categorizing unknown words. The system is based on a multicomponent architecture where each component is responsible for identifying one class o...
Janine Toole
CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 6 months ago
Optimal Direct Sum Results for Deterministic and Randomized Decision Tree Complexity
A Direct Sum Theorem holds in a model of computation, when for every problem solving some k input instances together is k times as expensive as solving one. We show that Direct Su...
Rahul Jain, Hartmut Klauck, Miklos Santha