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» Establishing Logical Rules from Empirical Data
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CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 7 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
VLDB
1998
ACM
95views Database» more  VLDB 1998»
13 years 11 months ago
From Data Independence to Knowledge Independence: An on-going Story
It is today widely acceptedthat "Business Rules Independence" is required for information systemsto better and more rapidly adjust to changesin thebusinessenvironment,Th...
Laurent Vieille
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 27 days ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
ESANN
1997
13 years 9 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ESOP
2007
Springer
14 years 1 months ago
On the Relationship Between Concurrent Separation Logic and Assume-Guarantee Reasoning
We study the relationship between Concurrent Separation Logic (CSL) and the assume-guarantee (A-G) method (a.k.a. rely-guarantee method). We show in three steps that CSL can be tre...
Xinyu Feng, Rodrigo Ferreira, Zhong Shao