Results 331 to 340 of about 4,210,592 (370)
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2014 22nd International Conference on Pattern Recognition, 2014
We propose a new decision tree model, named the budding tree, where a node can be both a leaf and an internal decision node. Each bud node starts as a leaf node, can then grow children, but then later on, if necessary, its children can be pruned. This contrasts with traditional tree construction algorithms that only grows the tree during the training ...
Yıldız, Olcay Taner +2 more
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We propose a new decision tree model, named the budding tree, where a node can be both a leaf and an internal decision node. Each bud node starts as a leaf node, can then grow children, but then later on, if necessary, its children can be pruned. This contrasts with traditional tree construction algorithms that only grows the tree during the training ...
Yıldız, Olcay Taner +2 more
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Studia Logica, 2012
The paper is concerned with proof-theoretic aspects of the method of Socratic transformations. It is founded on inferential erotetic logic developed by Wiśniewski and based on the idea of solving logical problems by questioning. A question in this framework is formulated as a finite list of sequents with one formula in the succedent.
Leszczyńska-Jasion, Dorota +2 more
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The paper is concerned with proof-theoretic aspects of the method of Socratic transformations. It is founded on inferential erotetic logic developed by Wiśniewski and based on the idea of solving logical problems by questioning. A question in this framework is formulated as a finite list of sequents with one formula in the succedent.
Leszczyńska-Jasion, Dorota +2 more
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Fault trees, event trees and success trees
1993Fault-tree analysis was developed by H.A. Watson of the Bell Telephone Laboratories in 1961–2 as part of a US Air Force study contract for the Minuteman missile launch control system. Through the years it has proved to be a very valuable tool for the reliability evaluation of complex systems, such as nuclear power stations, chemical plants, wide-body ...
D. J. Sherwin, A. Bossche
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Intelligent Data Analysis, 1999
In this paper we present system Ltree for propositional supervised learning. Ltree is able to define decision surfaces both orthogonal and oblique to the axes defined by the attributes of the input space. This is done combining a decision tree with a linear discriminant by means of constructive induction.
Gama, João, Brazdil, Pavel
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In this paper we present system Ltree for propositional supervised learning. Ltree is able to define decision surfaces both orthogonal and oblique to the axes defined by the attributes of the input space. This is done combining a decision tree with a linear discriminant by means of constructive induction.
Gama, João, Brazdil, Pavel
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Trees and Tree-Equivalent Graphs
Canadian Journal of Mathematics, 1965As is well known in the theory of graphs a tree is a connected graph without cycles. Many characterizing properties of trees are known (1), for example the cyclomatic number is equal to zero, which is also equal to p — 1, where p is the number of connected components of the graph.
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Theory in Biosciences, 2010
Darwin saw similarities between the evolution of species and the evolution of languages, and it is now widely accepted that similarities between related languages can often be interpreted in terms of a bifurcating descent history (‘phylogenesis’). Such interpretations are supported when the distributions of shared and unshared traits (for example, in ...
James Steele, Anne Kandler
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Darwin saw similarities between the evolution of species and the evolution of languages, and it is now widely accepted that similarities between related languages can often be interpreted in terms of a bifurcating descent history (‘phylogenesis’). Such interpretations are supported when the distributions of shared and unshared traits (for example, in ...
James Steele, Anne Kandler
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Points of Significance: Classification and regression trees
Nature Methods, 2017L. Breiman, R. Olshen
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Classification and regression trees
International Journal of Public Health, 2012N. Speybroeck
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Evolutionary trees from DNA sequences: A maximum likelihood approach
Journal of Molecular Evolution, 2005J. Felsenstein
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