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Image of Graphs for pattern recognition :infeasible systems of linear inequalities

Ebook

Graphs for pattern recognition :infeasible systems of linear inequalities

Gainanov, Damir - Nama Orang;

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.


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Informasi Detail
Judul Seri
-
No. Panggil
516.1 GAI g
Penerbit
Berlin, Germany : De Gruyter., 2016
Deskripsi Fisik
X, 148 p,
Bahasa
English
ISBN/ISSN
9783110481068
Klasifikasi
516.1
Tipe Isi
-
Tipe Media
ebook
Tipe Pembawa
-
Edisi
-
Subjek
Graph theory
Inequalities (Mathematics)
Info Detail Spesifik
-
Pernyataan Tanggungjawab
-
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Tidak tersedia versi lain

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