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CLIMA
2004
13 years 11 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
ENTCS
2007
80views more  ENTCS 2007»
13 years 9 months ago
Topological Perspective on the Hybrid Proof Rules
We consider the non-orthodox proof rules of hybrid logic from the viewpoint of topological semantics. Topological semantics is more general than Kripke semantics. We show that the...
Balder ten Cate, Tadeusz Litak
DATAMINE
2008
112views more  DATAMINE 2008»
13 years 10 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
ECML
1993
Springer
14 years 1 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini
WINE
2010
Springer
109views Economy» more  WINE 2010»
13 years 7 months ago
Strategy-Proof Voting Rules over Multi-issue Domains with Restricted Preferences
In this paper, we characterize strategy-proof voting rules when the set of alternatives has a multi-issue structure, and the voters' preferences are represented by acyclic CP-...
Lirong Xia, Vincent Conitzer