Kernel methods in computational biology /
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 dimensionality (as in mic...
| Other Authors: | Schölkopf, Bernhard, Tsuda, Koji, Vert, Jean-Philippe |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
©2004.
|
| Series: | Computational molecular biology
Computational biology |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Kernel methods in computational biology /
Published: (2004)
Published: (2004)
Learning with kernels : support vector machines, regularization, optimization, and beyond /
by: Schölkopf, Bernhard
Published: (2002)
by: Schölkopf, Bernhard
Published: (2002)
Predicting structured data /
Published: (2007)
Published: (2007)
Advances in kernel methods : support vector learning /
Published: (1999)
Published: (1999)
Kernels for structured data /
by: Gärtner, Thomas
Published: (2008)
by: Gärtner, Thomas
Published: (2008)
Learning kernel classifiers : theory and algorithms /
by: Herbrich, Ralf
Published: (2002)
by: Herbrich, Ralf
Published: (2002)
Learning with kernels : support vector machines, regularization, optimization, and beyond /
by: Schölkopf, Bernhard
Published: (2002)
by: Schölkopf, Bernhard
Published: (2002)
Kernel methods for pattern analysis /
by: Shawe-Taylor, John
Published: (2004)
by: Shawe-Taylor, John
Published: (2004)
Large-scale kernel machines /
Published: (2007)
Published: (2007)
Advances in large margin classifiers /
Published: (2000)
Published: (2000)
Predicting structured data /
Published: (2007)
Published: (2007)
Bioinformatics using computational intelligence paradigms /
Published: (2005)
Published: (2005)
Kernel methods and machine learning /
by: Kung, S. Y. (Sun Yuan)
Published: (2014)
by: Kung, S. Y. (Sun Yuan)
Published: (2014)
An introduction to computational learning theory /
by: Kearns, Michael J.
Published: (1994)
by: Kearns, Michael J.
Published: (1994)
Advances in kernel methods : support vector learning /
Published: (1999)
Published: (1999)
Biomedical and Computational Biology : Second International Symposium, BECB 2022, Virtual Event, August 13-15, 2022, Revised Selected Papers /
Published: (2023)
Published: (2023)
Neural computing architectures : the design of brain-like machines /
Published: (1989)
Published: (1989)
Introduction to machine learning and bioinformatics /
Published: (2008)
Published: (2008)
Support vector machine in chemistry /
Published: (2004)
Published: (2004)
Advances in large margin classifiers /
Published: (2000)
Published: (2000)
Bridging the gap between graph edit distance and kernel machines /
by: Neuhaus, Michel
Published: (2007)
by: Neuhaus, Michel
Published: (2007)
Neural smithing : supervised learning in feedforward artificial neural networks /
by: Reed, Russell D.
Published: (1999)
by: Reed, Russell D.
Published: (1999)
Immunological bioinformatics /
by: Lund, Ole
Published: (2005)
by: Lund, Ole
Published: (2005)
Immunological bioinformatics /
Published: (2005)
Published: (2005)
GeNeDis 2022 : Computational Biology and Bioinformatics /
Published: (2023)
Published: (2023)
Kernel learning algorithms for face recognition /
by: Li, Jun-Bao
Published: (2014)
by: Li, Jun-Bao
Published: (2014)
Bioinformatics : the machine learning approach /
by: Baldi, Pierre
Published: (1998)
by: Baldi, Pierre
Published: (1998)
Principles and labs for deep learning /
by: Huang, Shih-Chia
Published: (2021)
by: Huang, Shih-Chia
Published: (2021)
Reproducing kernels and their applications /
Published: (1999)
Published: (1999)
Algebraic and combinatorial computational biology /
Published: (2019)
Published: (2019)
Computation in cells and tissues : perspectives and tools of thought /
Published: (2004)
Published: (2004)
Computational molecular modelling in structural biology /
Published: (2018)
Published: (2018)
Dataset shift in machine learning /
Published: (2009)
Published: (2009)
Advances in neural information processing systems 19 : proceedings of the 2006 conference /
Published: (2007)
Published: (2007)
Emerging trends in computational biology, bioinformatics, and systems biology : algorithms and software tools /
Published: (2015)
Published: (2015)
Bioinformatics : the machine learning approach /
by: Baldi, Pierre
Published: (2001)
by: Baldi, Pierre
Published: (2001)
GeNeDis 2020 : Computational Biology and Bioinformatics /
Published: (2021)
Published: (2021)
Reproducing kernels and their applications /
Published: (1999)
Published: (1999)
Kernel smoothing : principles, methods and applications /
by: Ghosh, S. (Sucharita)
Published: (2018)
by: Ghosh, S. (Sucharita)
Published: (2018)
Theory of reproducing kernels and its applications /
by: Saitoh, Saburou, 1944-
Published: (1988)
by: Saitoh, Saburou, 1944-
Published: (1988)