Mendeley出力
Graphs for Pattern Recognition
| データ種別 | 電子ブック |
|---|---|
| 本文言語 | 英語 |
| 大きさ | 1 online resource (158) |
書誌詳細を非表示
| 資料種別 | 機械可読データファイル |
|---|---|
| 一般注記 | 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: Preface Pattern recognition, infeasible systems of linear inequalities, and graphs Infeasible monotone systems of constraints Complexes, (hyper)graphs, and inequality systems Polytopes, positive bases, and inequality systems Monotone Boolean functions, complexes, graphs, and inequality systems Inequality systems, committees, (hyper)graphs, and alternative covers Bibliography List of notation Index Open Access Includes bibliographical references (pages 133-140) and index Print version record |
| 著者標目 | *Gainanov, Damir. |
| 件 名 | BSH:Electronic books LCSH:Inequalities (Mathematics) LCSH:Graph theory BISACSH:MATHEMATICS -- Geometry -- General 全ての件名で検索 FREE:Graph theory FREE:Inequalities (Mathematics) FREE:Lineares Ungleichungssystem FREE:Graphentheorie FREE:Kombinatorische Optimierung FREE:Deutsche Arbeitsgemeinschaft für Mustererkennung |
| 分 類 | DC23:516/.1 |
| 書誌ID | ED00002769 |
| ISBN | 3110481065 |