Results 221 to 230 of about 147,371 (263)
Retrieving interpretability to support vector machine regression models in dynamic system identification. [PDF]
Pena-Campos J +5 more
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Symmetry breaking and avalanche shapes in modular neural networks. [PDF]
de Candia A +3 more
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Approximate Query on Temporal Knowledge Graphs via Two-Level Embeddings. [PDF]
Liu J, Duan X, Bai L.
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Journal of Graph Theory, 1995
AbstractWe study a class of perfect graphs which, because they generalize interval graphs, we call pseudo‐interval graphs. Like interval graphs, their vertices correspond to intervals of a linearly ordered set, but a modified definition of intersection is used in order to determine edges.
Brauner, Erik O. +2 more
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AbstractWe study a class of perfect graphs which, because they generalize interval graphs, we call pseudo‐interval graphs. Like interval graphs, their vertices correspond to intervals of a linearly ordered set, but a modified definition of intersection is used in order to determine edges.
Brauner, Erik O. +2 more
openaire +1 more source
The Mathematics Teacher, 1961
Interval graphing provides fresh opportunities at all levels of secondary mathematics.
Sheldon T. Rio, Walter J. Sanders
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Interval graphing provides fresh opportunities at all levels of secondary mathematics.
Sheldon T. Rio, Walter J. Sanders
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Journal of Combinatorial Optimization, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng, Li, Wang, Chi, Zhang, Peisen
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheng, Li, Wang, Chi, Zhang, Peisen
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Recognizing d-Interval Graphs and d-Track Interval Graphs
Algorithmica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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