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Institutional specialization
(2019-01)
This paper presents a theory of institutional specialization in which some countries uphold the rule of law while others choose extractive institutions, even though they are ex-ante identical.This is borne out of two key ...
Institutional Specialization
(2021-06)
This paper presents a theory of institutional specialization in which some countries uphold the rule of law while others choose extractive institutions, even when countries are ex-ante identical. The driving force of ...
Um estudo de algoritmos para extração de regras baseados em análise formal de conceitos
(Universidade Federal de Minas GeraisUFMG, 2007-02-16)
This work presents a comparative analysis of techniques for extracting rules from databases through Formal Concept Analysis (FCA). The rules considered here are sets of dependencies among attributes of databases. Specifically, ...
Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
Risk prediction for weed infestation using classification rules
(2009-12-01)
This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from ...
Risk prediction for weed infestation using classification rules
(2009-12-01)
This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from ...
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
This paper describes the modeling of a weed infestation risk inference system that implements a collaborative inference scheme based on rules extracted from two Bayesian network classifiers. The first Bayesian classifier ...
Extração de regras de redes neurais artificiais aplicadas ao problema da determinação da estrutura secundária de proteínasRule extraction from artificial neural networks applied to the problem of protein secondary structure prediction
(Universidade do Vale do Rio do Sinos, 2004-03-09)
This work presents a study about knowledge extraction from Neural Networks in the form of fuzzy rules. In the application of this technique, it was investigated the problem of classification of the protein secondary ...