Search
Feedback
About UniCat 
Help
News
| Listing 1 - 4 of 4 |
Sort by
|
Book
ISBN: 0582035643 9780582035645 Year: 1988 Volume: 189 Publisher: Harlow : Longman scientific and technical,
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
Kernel functions --- Kernen (Wiskunde) --- Noyaux (Mathematiques)
ISBN: 0262195097 9780262256926 9780262195096 0262256924 8180520773 9788180520778 Year: 2004 Publisher: Cambridge (MA) ; London : M.I.T. Press,
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
Computational biology --- Kernel functions --- Bio-informatique --- Noyaux (Mathématiques) --- Computational biology. --- Kernel functions. --- Basic Sciences. Mathematics --- Basic Sciences. Molecular Biology --- Analysis, Functions --- Molecular Biology (General) --- Analysis, Functions. --- Molecular Biology (General). --- Noyaux (Mathématiques) --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- Biology --- Bioinformatics
ISBN: 0262194759 0262256932 0585477590 9780262194754 9780262256933 9780585477596 Year: 2002 Publisher: Cambridge (MA) ; London : M.I.T. Press,
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.
Complex analysis --- Computer assisted instruction --- Artificial intelligence. Robotics. Simulation. Graphics --- Machine learning --- Algorithms --- Kernel functions --- Apprentissage automatique --- Algorithmes --- Noyaux (Mathématiques) --- Machine Learning. --- Algorithms. --- Support vector machines. --- Kernel functions. --- Functions, Kernel --- SVMs (Algorithms) --- Noyaux (Mathématiques) --- Support vector machines --- Supervised learning (Machine learning) --- Functions of complex variables --- Geometric function theory --- E-books --- Machine learning. --- Algorism --- Algebra --- Arithmetic --- Learning, Machine --- Artificial intelligence --- Machine theory --- Foundations --- COMPUTER SCIENCE/Machine Learning & Neural Networks
ISBN: 0521780195 9780521780193 9780511801389 Year: 2004 Publisher: Cambridge Cambridge University Press
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
Machine Learning --- Algorithms --- Artificiële intelligentie. --- Computeralgoritmen. --- Machine learning. --- Machineleren. --- Kernel functions --- Support vector machines --- algoritme --- kernel-based virtual machine --- lineaire regressie --- svms (support vector machines) --- #TELE:SISTA --- 512.6 CRIS sist --- 681.3*I26 --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- SVMs (Algorithms) --- Supervised learning (Machine learning) --- Complex analysis --- Artificial intelligence. Robotics. Simulation. Graphics --- Apprentissage automatique --- Algorithmes --- Noyaux (Mathématiques) --- Kernel functions. --- Support vector machines. --- Basic Sciences. Statistics --- Statistics (General). --- Machine learning --- Noyaux (Mathématiques) --- Maschinelles Lernen. --- Support-Vektor-Maschine. --- Informatique --- Computer science
| Listing 1 - 4 of 4 |
Sort by
|