Molecular Graph Kernels for Drug Discovery- vtap mobile videos

Kernels in Bioinformatics

Jean-Philippe Vert

machine learning, computer science @, bioinformatics

10 months ago

Videolectures.net

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Kernel Methods in Computational Biology

511

Jean-Philippe Vert

Many problems in computational biology and chemistry can be formalized as classical statistical problems, e.g., pattern recognition, regression or dimension reduction, with the caveat that the data ...

4h 8m 14s |

4 months ago

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Dimension reduction

Kernel methods

Pattern recognition

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Kernel (computer science)

Regression analysis

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ML in Bioinformatics

284

Florence d'Alché

...machine learning in computational biology, we focus on the problem of biological networks inference. We define the problem as a problem of kernel learning using prediction in kernelized output ...

1h 29m 45s |

4 months ago

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Completion of biological networks : the output kernel trees approach

103

Florence d'AlchĂŠ

...machine learning has to play a major role regarding this issue, given its large spectrum of tools ranging from generative models to concept learning methods. In this work the focus is narrowed on ...

38m 44s |

4 months ago

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Random walk graph kernels and rational kernels

181

S.V.N. Vishwanathan

Random walk graph kernels (Gartner et al., 2003 [5]; Borgwardt et al., 2005 [1]) count matching random walks, and are defined using the tensor product graph. Loosely speaking, rational kernels ...

29m 44s |

4 months ago

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