Rule 90

Known as: Rule 102 
Rule 90 is an elementary cellular automaton based on the exclusive or function. It consists of a one-dimensional array of cells, each of which can… (More)
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Review
2017
Review
2017
From autonomous cars and adaptive email-filters to predictive policing systems, machine learning (ML) systems are increasingly… (More)
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Highly Cited
2006
Highly Cited
2006
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces… (More)
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Highly Cited
2005
Highly Cited
2005
This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-based classification systems. First, we… (More)
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Highly Cited
2005
Highly Cited
2005
General regression and classification models are constructed as linear combinations of simple rules derived from the data. Each… (More)
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Highly Cited
2001
Highly Cited
2001
This paper describes the conceptual development, operationalization and empirical testing of Albatross: A Learning Based… (More)
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2000
2000
In this paper we consider a continuous version of cellular automata (Fuzzy CA) obtained by “fuzzification” of the disjunctive… (More)
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Highly Cited
1999
Highly Cited
1999
Fuzzy Rule-Based Systems have been succesfully applied to pattern classification problems. In this type of classification systems… (More)
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Highly Cited
1991
Highly Cited
1991
The CN2 algorithm induces an ordered list of classi cation rules from examples using entropy as its search heuristic. In this… (More)
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Highly Cited
1989
Highly Cited
1989
Explicit representation of negative information in logic programs is not feasible in many applications such as deductive… (More)
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Highly Cited
1974
Highly Cited
1974
In this paper, we obtain the optimal selection rule for ordering uncertain prospects for all individuals with decreasing absolute… (More)
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