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Graphs for pattern recognition : infeasible systems of linear inequalities /
Data mining and pattern recognition are areas based on the mathematical constructions discussed in this monograph. By using combinatorial and graph theoretical techniques, it is shown how to tackle infeasible systems of linear inequalities. These are, in turn, building blocks of geometric decision r...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Alemán |
| Publicado: |
Berlin :
De Gruyter,
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Gainanov, Damir |q (Damir N.), |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjDyTk8yXdpXXvDxKGmy3P | |
| 245 | 1 | 0 | |a Graphs for pattern recognition : |b infeasible systems of linear inequalities / |c Damir Gainanov. |
| 264 | 1 | |a Berlin : |b De Gruyter, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (viii, 147 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 133-140) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t 1. Pattern recognition, infeasible systems of linear inequalities, and graphs -- |t 2. Complexes, (hyper)graphs, and inequality systems -- |t 3. Polytopes, positive bases, and inequality systems -- |t 4. Monotone Boolean functions, complexes, graphs, and inequality systems -- |t 5. Inequality systems, committees, (hyper)graphs, and alternative covers -- |t Bibliography -- |t List of notation -- |t Index. |
| 520 | |a Data mining and pattern recognition are areas based on the mathematical constructions discussed in this monograph. By using combinatorial and graph theoretical techniques, it is shown how to tackle infeasible systems of linear inequalities. These are, in turn, building blocks of geometric decision rules for pattern recognition. | ||
| 590 | |a De Gruyter Online |b De Gruyter Open Access eBooks | ||
| 610 | 2 | 7 | |a Deutsche Arbeitsgemeinschaft für Mustererkennung |2 gnd |
| 650 | 0 | |a Inequalities (Mathematics) | |
| 650 | 0 | |a Graph theory. | |
| 650 | 6 | |a Inégalités (Mathématiques) | |
| 650 | 7 | |a MATHEMATICS |x Geometry |x General. |2 bisacsh | |
| 650 | 7 | |a Graph theory |2 fast | |
| 650 | 7 | |a Inequalities (Mathematics) |2 fast | |
| 650 | 7 | |a Lineares Ungleichungssystem |2 gnd | |
| 650 | 7 | |a Graphentheorie |2 gnd | |
| 650 | 7 | |a Kombinatorische Optimierung |2 gnd | |
| 758 | |i has work: |a Graphs for pattern recognition (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGMXwKQf4jwHMT4H8F9wfq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Gainanov, Damir (Damir N.). |t Graphs for pattern recognition : infeasible systems of linear inequalities. |d Berlin, [Germany] ; Boston, [Massachusetts] : De Gruyter, ©2016 |h x, 158 pages |z 9783110480139 |
| 856 | 4 | 0 | |u https://www.degruyter.com/openurl?genre=book&isbn=9783110481068 |z Texto completo |
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