000 02443pam a2200373 i 4500
003 AE-DuAU
999 _c43253
_d43253
001 9783319410623
005 20241127175714.0
008 160822t20162016sz a b 001 0 eng d
020 _a9783319410623
020 _a3319410628
040 _aStDuBDS
_beng
_cStDuBDS
_erda
_dUK-RwCLS
050 0 4 _aQ325.5
_b.M87 2016
090 _aQ 325.5 .M87 2016
100 1 _aMurty, M. Narasimha,
_eauthor.
_99413
245 1 0 _aSupport vector machines and perceptrons :
_blearning, optimization, classification, and application to social networks /
_cM.N. Murty, Rashmi Raghava.
264 1 _aSwitzerland :
_bSpringer,
_c[2016]
264 4 _c2016
300 _axiii, 95 pages :
_billustrations (black and white) ;
_c24 cm.
336 _atext
_2rdacontent
_btxt
336 _astill image
_2rdacontent
_btxt
337 _aunmediated
_2rdamedia
_bn
338 _avolume
_2rdacarrier
_bnc
490 1 _aSpringerBriefs in computer science,
_x2191-5768
504 _aIncludes bibliographical references and index.
505 0 _aIntroduction -- Linear Discriminant Function -- Perceptron -- Linear Support Vector Machines -- Kernel Based SVM -- Application to Social Networks -- Conclusion.
520 0 0 _aThis work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>.
650 0 _aSupport vector machines.
_99414
650 0 _aSocial networks.
_91902
700 1 _aRaghava, Rashmi,
_eauthor.
_99415
830 0 _aSpringerBriefs in computer science.
_99416
942 _2lcc
_cBOOK
907 _a43253