About
Research on Multiple Kernel Learning (MKL) has matured to the point where efficient systems can be applied out of the box to various application domains. In contrast to last year’s workshop, which evaluated the achievements of MKL in the past decade, this workshop looks beyond the standard setting and investigates new directions for MKL. In particular, we focus on two topics:
There are three research areas, which are closely related, but have traditionally been treated separately: learning the kernel, learning distance metrics, and learning the
covariance function of a Gaussian process. We therefore would like to bring together researchers from these areas to find a unifying view, explore connections, and exchange ideas.
We ask for novel contributions that take new directions, propose
innovative approaches, and take unconventional views. This includes research, which goes beyond the limited classical sumof- kernels setup, finds new ways of combining kernels, or applies MKL in more complex settings.
Taking advantage of the broad variety of research topics at NIPS, the workshop aims to foster collaboration across the borders of the traditional multiple kernel learning community.
Workshop homepage: http://doc.ml.tu-berlin.de/mkl_workshop/
Related categories
Uploaded videos:
Invited Speakers
Various Formulations for Learning the Kernel and Structured Sparsity
Jan 12, 2011
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4202 Views
A Gaussian Process View on MKL
Jan 12, 2011
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11119 Views
Structured Regularization for MKL
Jan 12, 2011
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3638 Views
Distance Metric Learning for Kernel Machines
Jan 12, 2011
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8677 Views
Lectures
Regularization Strategies and Empirical Bayesian Learning for MKL
Jan 12, 2011
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5181 Views
Online MKL for Structured Prediction
Jan 12, 2011
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3617 Views
Multiple Gaussian Process Models
Jan 12, 2011
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4869 Views
Multitask Multiple Kernel Learning (MT-MKL)
Jan 12, 2011
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4579 Views
Co-regularized Spectral Clustering with Multiple Kernels
Jan 12, 2011
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4681 Views
Poster Spotlights
Supervised and Localized Dimensionality Reduction from Multiple Feature Represen...
Jan 12, 2011
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4045 Views
Multiple Kernel Learning for Efficient Conformal Predictions
Jan 12, 2011
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3490 Views
Operator Induced Multi-Task Gaussian Processes for Solving Differential Equation...
Jan 12, 2011
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3417 Views
Learning Kernels via Margin-and-Radius Ratios
Jan 12, 2011
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3440 Views
Currency Forecasting using Multiple Kernel Learning with Financially Motivated F...
Jan 12, 2011
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5810 Views
Panel discussion
Panel discussion
Jan 26, 2011
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3575 Views