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Kernel methods in computational biology: Workshop entitled "Kernel Methods in Computationa…
by Max-Planck-Gesellschaft zur Förderung der Wissenschaften, Schölkopf, Bernhard, Max-Planck-Institut für Molekulare Genetik, Workshop. Kernel Methods in Computational Biology, Berlin)
fromComputational molecular biology
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Type: Book
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dime…
This book provides a detailed overview of current research in kernel methods and their applications to computational biology. Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuiti…
Advances in large margin classifiers
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Type: Book
The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confiden…
The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confiden…
This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of reproducing kernel Hilbert Spaces (RKHS), ac…
This Festschrift was published in honor of Hans L. Bodlaender on the occasion of his 60th birthday. The 14 full and 5 short contributions included in this volume show the many transformative discoveries made by H.L. Bodlaender in the areas of graph algorithms, parameterized comp…
This Festschrift was published in honor of Hans L. Bodlaender on the occasion of his 60th birthday. The 14 full and 5 short contributions included in this volume show the many transformative discoveries made by H.L. Bodlaender in the areas of graph algorithms, parameterized comp…
The learning methodology -- Linear learning machines -- Kernal-induced feature spaces -- Generalisation theory -- Optimisation theory -- Support vector machines -- Implementation techniques -- Application of support vector machines.
"This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-writt…