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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4200 Views
A Gaussian Process View on MKL
Jan 12, 2011
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11112 Views
Structured Regularization for MKL
Jan 12, 2011
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3636 Views
Distance Metric Learning for Kernel Machines
Jan 12, 2011
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8671 Views
Lectures
Regularization Strategies and Empirical Bayesian Learning for MKL
Jan 12, 2011
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5176 Views
Online MKL for Structured Prediction
Jan 12, 2011
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3613 Views
Multiple Gaussian Process Models
Jan 12, 2011
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4860 Views
Multitask Multiple Kernel Learning (MT-MKL)
Jan 12, 2011
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4577 Views
Co-regularized Spectral Clustering with Multiple Kernels
Jan 12, 2011
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4678 Views
Poster Spotlights
Supervised and Localized Dimensionality Reduction from Multiple Feature Represen...
Jan 12, 2011
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4040 Views
Multiple Kernel Learning for Efficient Conformal Predictions
Jan 12, 2011
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3488 Views
Operator Induced Multi-Task Gaussian Processes for Solving Differential Equation...
Jan 12, 2011
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3415 Views
Learning Kernels via Margin-and-Radius Ratios
Jan 12, 2011
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3439 Views
Currency Forecasting using Multiple Kernel Learning with Financially Motivated F...
Jan 12, 2011
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5808 Views
Panel discussion
Panel discussion
Jan 26, 2011
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3574 Views