Graphs for pattern recognition : : infeasible systems of linear inequalities / / Damir Gainanov.
This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as b...
Saved in:
| VerfasserIn: | |
|---|---|
| Place / Publishing House: | Berlin, [Germany] ;, Boston, [Massachusetts] : : De Gruyter,, 2016. ©2016 |
| Year of Publication: | 2016 |
| Edition: | 1st ed. |
| Language: | German English |
| Physical Description: | 1 online resource (x, 147 pages) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 04397nam a2200685 i 4500 | ||
|---|---|---|---|
| 001 | 993543685804498 | ||
| 005 | 20240501143910.0 | ||
| 006 | m o d | | ||
| 007 | cr#cn#nnn||||| | ||
| 008 | 161028t20162016gw ob 001 0 ger d | ||
| 019 | |a (OCoLC)963114749 | ||
| 020 | |a 3-11-048030-1 | ||
| 020 | |a 3-11-048106-5 | ||
| 024 | 7 | |a 10.1515/9783110481068 |2 doi | |
| 035 | |a (CKB)3850000000001073 | ||
| 035 | |a (EBL)4718418 | ||
| 035 | |a (OCoLC)962793042 | ||
| 035 | |a (DE-B1597)466925 | ||
| 035 | |a (OCoLC)951141809 | ||
| 035 | |a (OCoLC)963114749 | ||
| 035 | |a (DE-B1597)9783110481068 | ||
| 035 | |a (Au-PeEL)EBL4718418 | ||
| 035 | |a (CaPaEBR)ebr11283245 | ||
| 035 | |a (CaONFJC)MIL964181 | ||
| 035 | |a (OCoLC)961059086 | ||
| 035 | |a (ScCtBLL)a80371dd-766f-4802-9ff9-c024f7263329 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/48863 | ||
| 035 | |a (CaSebORM)9783110480306 | ||
| 035 | |a (MiAaPQ)EBC4718418 | ||
| 035 | |a (EXLCZ)993850000000001073 | ||
| 040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c DE | ||
| 050 | 4 | |a QA295 |b .G275 2016 | |
| 072 | 7 | |a COM012050 |2 bisacsh | |
| 072 | 7 | |a COM051300 |2 bisacsh | |
| 072 | 7 | |a MAT003000 |2 bisacsh | |
| 072 | 7 | |a MAT012000 |2 bisacsh | |
| 072 | 7 | |a MAT036000 |2 bisacsh | |
| 072 | 7 | |a MAT042000 |2 bisacsh | |
| 082 | 0 | |a 516/.1 |2 23 | |
| 100 | 1 | |a Gainanov, Damir |q (Damir N.), |e author. | |
| 245 | 1 | 0 | |a Graphs for pattern recognition : |b infeasible systems of linear inequalities / |c Damir Gainanov. |
| 250 | |a 1st ed. | ||
| 260 | |b De Gruyter |c 2016 | ||
| 264 | 1 | |a Berlin, [Germany] ; |a Boston, [Massachusetts] : |b De Gruyter, |c 2016. | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (x, 147 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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 This monograph deals with mathematical constructions that are foundational in such an important area of data mining as pattern recognition. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized solutions act as building blocks of geometric decision rules for pattern recognition.Infeasible systems of linear inequalities prove to be a key object in pattern recognition problems described in geometric terms thanks to the committee method. Such infeasible systems of inequalities represent an important special subclass of infeasible systems of constraints with a monotonicity property - systems whose multi-indices of feasible subsystems form abstract simplicial complexes (independence systems), which are fundamental objects of combinatorial topology.The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions and excellent solutions. Contents:PrefacePattern recognition, infeasible systems of linear inequalities, and graphsInfeasible monotone systems of constraintsComplexes, (hyper)graphs, and inequality systemsPolytopes, positive bases, and inequality systemsMonotone Boolean functions, complexes, graphs, and inequality systemsInequality systems, committees, (hyper)graphs, and alternative coversBibliographyList of notationIndex | ||
| 540 | |a This eBook is made available Open Access. Unless otherwise specified in the content, the work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license: |u https://creativecommons.org/licenses/by-nc-nd/3.0 |u https://www.degruyter.com/dg/page/open-access-policy | ||
| 546 | |a In English. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | |a Inequalities (Mathematics) | |
| 650 | 0 | |a Graph theory. | |
| 776 | |z 3-11-048013-1 | ||
| 906 | |a BOOK | ||
| ADM | |b 2024-05-03 04:20:13 Europe/Vienna |f system |c marc21 |a 2016-07-09 16:49:08 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5339620750004498&Force_direct=true |Z 5339620750004498 |b Available |8 5339620750004498 | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337378310004498&Force_direct=true |Z 5337378310004498 |b Available |8 5337378310004498 | ||