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# ðŸ“™ Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks by M.N. Murty, Rashmi Raghava (auth.) â€” download pdf

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This 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.>

- Series:
**SpringerBriefs in Computer Science** - Author:
**M.N. Murty, Rashmi Raghava (auth.)** - Year:
**2016** - Publisher:
**Springer International Publishing** - Language:
**English** - ISBN:
**978-3-319-41062-3,978-3-319-41063-0**

- File size:
**1 870 852** - Format:
**pdf**

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This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research que...

A comprehensive introduction to Support Vector Machines and related kernel methods....

The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully rev...

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales...

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and ...

The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading stra...

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mat...

During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led...

This book provides an introduction to basic notions and relevant techniques used to obtain quantitative results in statistical mechanics of learning. A major portion of the book deals with the perceptron, the basic building block for neural networks. Earl...

J. Gary Lilyquist synthesizes such innovative concepts as, systems thinking, mental models, effective school research, and Deming's theories of management to propose the new Balance Alignment Model, a wide-ranging approach for fostering school improvement...

Volume II Geometry.- Some Algebro-Geometrical Aspects of the Newton Attraction Theory.- Smoothing of a Ring Homomorphism Along a Section.- Convexity and Loop Groups.- The Jacobian Conjecture and Inverse Degrees.- Some Observations on the Infinitesimal Per...

Neuropsychology has its roots in clinical neurology. Reading case deÂ scriptions by 19th century neurologists, such as Wernicke's painstakingly detailed examinations of patients with the "aphasic symptom-complex," makes it obvious that neuropsychology is ...

The first U. S. Army Natick Research, Development and Engineering Center Atomic Force/Scanning Tunneling Microscopy (AFM/STM) Symposium was held on lune 8-10, 1993 in Natick, Massachusetts. This book represents the compilation of the papers presented at t...

This book discusses the interaction of light with atoms, concentrating on the semiclassical descriptions of the processes. It begins by discussing the classical theory of electromagnetic radiation and its interaction with a classical charged dipole oscill...

Atomic Physics is certainly the oldest field in which Quantum Mechanics has been used and has provided the most significant proofs of this new theory. Most of the basic concepts, except those more recently developed in field quantization, have been unders...

In May 1986, the Association for Behavior Analysis (ABA) established a task force on the right to effective behavioral treatment. The mandate of this task force was to identify and delineate specific rights as they apply to behavioral treatment. Impetus f...

This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illus...