• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

Upp till 20% på populära nyheter →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare

    Mina sidor

      Hjälp

      • Kundservice
      • Vanliga frågor och svar
      • Frakt och leverans
      • Retur vid ångerrätt
      • Reklamera vara
      • Betalning
      • Köpvillkor
      • Allmänna villkor
      • Information om webbplatsens tillgänglighet

      Om Bokus

      • Om oss
      • Pressrum
      • För studenter
      • För företag
      • För bibliotek och offentlig verksamhet
      • För leverantörer
      • Hållbarhet

      Populärt

      • Aktuella erbjudanden
      • Presentkort
      • Studentlitteratur
      • Nya böcker
      • Topplistor
      • Signerade böcker
      • Engelska böcker

      Inspiration

      • Boktips
      • BookTok
      • Populära bokserier
      • Barnbokskaraktärer
      • Populära författare
      Logotyp för Bokus
      Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
      bokus @ CookiesIntegritetspolicyKöpvillkor
      Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
      1. Naturvetenskap och teknik
      2. Matematik och naturvetenskap
      3. Matematik
      4. Optimering

      Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

      Theory, Algorithms and Applications

      AvJamal Amani Rad,Kourosh Parand

      Häftad, Engelska, 2024

      Del i serien Industrial and Applied Mathematics

      1 526 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.

      Produktinformation

      • Utgivningsdatum:2024-03-20
      • Mått:155 x 235 x 18 mm
      • Vikt:487 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Industrial and Applied Mathematics
      • Antal sidor:305
      • Förlag:Springer Verlag, Singapore
      • ISBN:9789811965555

      Utforska kategorier

      • Optimering inom Naturvetenskap och teknik
      • Systemvetenskap och AI inom Data och IT
      • Databaser inom Data och IT

      Mer om författaren

      JAMAL AMANI RAD is assistant professor at the Department of Cognitive Modeling, Institute for Cognitive and Brain Sciences, Shahid Beheshti University (SBU), Evin, Tehran, Iran. He received his Ph.D. in numerical analysis (scientific computing) from SBU in 2015. Following his Ph.D., he started a one-year post-doctoral fellowship at SBU in May 2016. He is currently focused on the development of mathematical models for cognitive processes in mathematical psychology, especially in risky or perceptual decision making. With H-index 18, he has published 64 research papers with 1032 citations. He also has contributed a chapter to the book, Mathematical Methods in Interdisciplinary Sciences, as well as published two books in Persian. He has supervised 11 M.Sc. theses and 3 Ph.D. theses. He has so far developed a good scientific collaboration with leading international researchers in mathematical modeling: E. Larsson and L. Sydow at Uppsala University, L.V. Ballestra at the University of Bologna, and E. Scalas at the University of Sussex. He is a reviewer of a few reputed journals as well as has organized quite a few international level conferences and workshops on deep learning and neural network.KOUROSH PARAND is professor at the Department of Statistics and Actuarial Science, University of Waterloo, Canada. He received his Ph.D. in numerical analysis from the Amirkabir University of Technology, Iran, in 2007. Professor Parand has published more than 220 research papers in reputed journals and conferences and has more than 3400 citations. His fields of interest include partial differential equations, ordinary differential equations, fractional calculus, spectral methods, numerical methods, and mathematical physics. Currently, he is working on machine learning techniques such as least squares support vector regression and deep learning for some engineering and neuroscience problems. He also collaborates, as a reviewer, with different prestigious international journals.SNEHASHISH CHAKRAVERTY is professor at the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, Odisha, as a senior (higher administrative grade) professor and dean of Student Welfare. Earlier, he worked with the CSIR-Central Building Research Institute, Roorkee, India. He had been visiting professor at Concordia University and McGill University, Canada, during 1997–1999, and the University of Johannesburg, South Africa, during 2011–2014. After completing his graduation from St. Columba’s College (now Ranchi University, Jharkhand, India), he did his M.Sc. (Mathematics), M.Phil. (Computer Applications), and Ph.D. from the University of Roorkee (now, the Indian Institute of Technology Roorkee), securing the first position in 1992. Thereafter, he did his post-doctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, UK, and at the Faculty of Engineering and Computer Science, Concordia University, Canada.Professor Chakraverty is a recipient of several prestigious awards: Indian National Science Academy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with the Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist Award (1997), BOYSCAST Fellow (DST), UCOST Young Scientist Award (2007, 2008), Golden Jubilee Director’s (CBRI) Award (2001), INSA International Bilateral Exchange Award (2015), Roorkee University Gold Medals (1987, 1988) for securing the first positions in M.Sc. and M.Phil. (Computer Applications). His present research area includes differential equations (ordinary, partial, and fractional), numerical analysis and computational methods, structural dynamics (FGM, nano) and fluid dynamics, mathematical and uncertainty modeling, soft computing and machine intelligence (artificial neural network, fuzzy, interval and affine computations).With more than 30 years of experience as a researcher and teacher, he has authored 23 books, published 382 research papers (till date) in journals and conferences. He is on the editorial boards of various international journals, book series, and conference proceedings. Professor Chakraverty is the chief editor of the International Journal of Fuzzy Computation and Modelling, associate editor of the journal, Computational Methods in Structural Engineering, Frontiers in Built Environment, and on the editorial board of several other book series and journals: Modeling and Optimization in Science and Technologies (Springer Nature), Coupled Systems Mechanics, Curved and Layered Structures, Journal of Composites Science, Engineering Research Express, and Applications and Applied Mathematics: An International Journal. He also is a reviewer of around 50 international journals of repute, and he was the president of the Section of Mathematical Sciences (including Statistics) of “Indian Science Congress” (2015–2016) and was the vicepresident of Orissa Mathematical Society (from 2011–2013). He has guided 18 Ph.D. students and 9 ongoing. He has undertaken around 16 research projects as principal investigator funded by international and national agencies totaling about INR 1.5 crore. He also has successfully organized a good number of international and national conferences, workshops, and training programs.

      Innehållsförteckning

      • Introduction to SVM.- Basics of SVM Method and Least Squares SVM.- Fractional Chebyshev Kernel Functions: Theory and Application.- Fractional Legendre Kernel Functions: Theory and Application.- Fractional Gegenbauer Kernel Functions: Theory and Application.- Fractional Jacobi Kernel Functions: Theory and Application.- Solving Ordinary Differential Equations by LS-SVM.- Solving Partial Differential Equations by LS-SVM.- Solving Integral Equations by LS-SVR.- Solving Distributed-Order Fractional Equations by LS-SVR.- GPU Acceleration of LS-SVM, Based on Fractional Orthogonal Functions.- Classification Using Orthogonal Kernel Functions: Tutorial on ORSVM Package.
      Hoppa över listan

      Du kanske också är intresserad av

      Snehashish Chakraverty, Kourosh Parand, Jamal Amani Rad - Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines, E-bok

      Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

      Snehashish Chakraverty, Kourosh Parand, Jamal Amani Rad

      E-bok
      2023

      1 894 kr

      Jamal Amani Rad, Snehashish Chakraverty, Kourosh Parand - Dimensionality Reduction in Machine Learning, Häftad

      Dimensionality Reduction in Machine Learning

      Jamal Amani Rad, Snehashish Chakraverty, Kourosh Parand

      Häftad, 2025

      1 881 kr

      Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty - Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines, Inbunden

      Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

      Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

      Inbunden, 2023

      1 526 kr

      Kourosh Parand, Snehashish Chakraverty, Jamal Amani Rad - Dimensionality Reduction in Machine Learning, E-bok

      Dimensionality Reduction in Machine Learning

      Kourosh Parand, Snehashish Chakraverty, Jamal Amani Rad

      E-bok
      2025

      2 373 kr

      Jamal Amani Rad, Kourosh Parand - Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications, Övrigt

      Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications

      Jamal Amani Rad, Kourosh Parand

      646 kr

      Måns Petter Zelmerlöw - När allt faller, Inbunden
      • -12%

      När allt faller

      Måns Petter Zelmerlöw

      Inbunden, 2026

      229 kr259 kr

      Peter Englund - Om att misslyckas, Inbunden
      • -17%

      Om att misslyckas

      Peter Englund

      Inbunden, 2026

      4,0 utav 5 stjärnor. Totalt antal röster:(9)

      199 kr239 kr

      Roland Paulsen - Avbegåvad : en essäberättelse om arv och miljö, Inbunden
      • -15%

      Avbegåvad : en essäberättelse om arv och miljö

      Roland Paulsen

      Inbunden, 2026

      225 kr265 kr

      Klara Peters Bastin - SIGNERAD - Om julens wälgång, Inbunden
      • Signerad!

      SIGNERAD - Om julens wälgång

      Klara Peters Bastin

      Inbunden, 2026

      249 kr

      Vendela Blomström, Jeanna Wennerberg - Akademiskt läsande och skrivande, Häftad

      Akademiskt läsande och skrivande

      Vendela Blomström, Jeanna Wennerberg

      Häftad, 2026

      421 kr