| 000 | 02682nam a22003617a 4500 | ||
|---|---|---|---|
| 003 | KnowledgeUnlatched | ||
| 005 | 20210303104719.0 | ||
| 006 | m o d | ||
| 007 | cr u|||||||||| | ||
| 008 | 210129p20162021xx o u00| u eng d | ||
| 037 | _5BiblioBoard | ||
| 245 | 0 | 0 |
_aGraphs for Pattern Recognition _bInfeasible Systems of Linear Inequalities / _cDamir Gainanov. |
| 020 | _a9783110481068 | ||
| 024 | 8 | _ahttps://doi.org/10.1515/9783110481068 | |
| 029 | 1 | _ahttps://library.biblioboard.com/ext/api/media/a80371dd-766f-4802-9ff9-c024f7263329/assets/thumbnail.jpg | |
| 040 |
_aScCtBLL _cScCtBLL |
||
| 100 | 1 |
_aGainanov, Damir _eauthor. |
|
| 264 | 1 | _bDe Gruyter, | |
| 300 | _a1 online resource (1 p.) | ||
| 506 | 0 |
_aAccess copy available to the general public. _fUnrestricted _2star |
|
| 520 | _aThis 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. | ||
| 588 | 0 | _aDescription based on print version record. | |
| 590 | _aKU Select 2019: STEM Backlist Books | ||
| 650 | 7 |
_aTechnology & Engineering / Agriculture _2bisacsh |
|
| 650 | 7 |
_aComputers / Artificial Intelligence / Computer Vision & Pattern Recognition _2bisacsh |
|
| 650 | 0 | _aComputers | |
| 655 | 0 | _aElectronic books. | |
| 758 |
_iIs found in: _aKnowledge Unlatched _1https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb |
||
| 856 | 4 | 0 |
_uhttps://openresearchlibrary.org/content/a80371dd-766f-4802-9ff9-c024f7263329 _zView this content on Open Research Library. _70 |
| 999 |
_c32369 _d32369 |
||