Tag: Classifiers

Free Download Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications (Industrial and Applied Mathematics) by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty
English | March 19, 2023 | ISBN: 9811965528 | 319 pages | MOBI | 38 Mb
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions-Chebyshev, Legendre, Gegenbauer, and Jacobi-are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations.

Free Download Pattern Recognition: Introduction, Features, Classifiers and Principles
English | 2018 | ISBN: 3110537931 | 306 Pages | PDF (True) | 13 MB
The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification – the heart of Pattern Recognition – special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book.

Free Download Alexandra Y. Aikhenvald, "Genders and Classifiers: A Cross-Linguistic Typology "
English | ISBN: 0198842015 | 2019 | 336 pages | PDF | 3 MB
This volume offers a comprehensive account of the typology of noun classification across the world’s languages. Every language has some means of categorizing objects into humans, or animates, or by their shape, form, size, and function. The most widespread are linguistic genders – grammatical classes of nouns based on core semantic properties such as sex (female and male), animacy, humanness, and also shape and size. Classifiers of several types also serve to categorize entities. Numeral classifiers occur with number words, possessive classifiers appear in the expressions of possession, and verbal classifiers are used on a verb, categorizing its argument. These varied sorts of genders and classifiers can also occur together. This volume elaborates on the expression, usage, history, and meanings of noun categorization devices, exploring their various facets across the languages of South America and Asia, which are known for the diversity of their noun categorization.