About
The Open House is part of the PASCAL's fifth thematic programme. This scientific programme brings together researchers around two themes:
- learning tasks where the target is complex (i.e. large number of different predictions) but has structure (sequence, tree, graph) that can be utilized for learning effectively;
- multi-task learning, where several dependent learning tasks are to be tackled at once.
In particular, we shall focus on the following research topics/issues.
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Uploaded videos:
Introductions
07:54
Introduction
Feb 25, 2007
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5315 Views
Lectures
01:04:00
Inductive transfer via embeddings into a common feature space
Feb 25, 2007
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3355 Views
50:24
Multi-task feature learning
Feb 25, 2007
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7165 Views
19:38
Learning with structured inputs
Feb 25, 2007
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3378 Views
48:05
Estimation of gradients and coordinate covariation in classification
Feb 25, 2007
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4409 Views
36:15
Slow subspace learning from stationary processes
Feb 25, 2007
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3125 Views
56:25
Multitask learning: the Bayesian way
Feb 25, 2007
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6012 Views
01:08:00
Top-down vs. bottom-up methods for hierarchical classification
Feb 25, 2007
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8342 Views
01:20:01
Learning shared representations for object recognition
Feb 25, 2007
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9657 Views
55:51
Output kernel tree
Feb 25, 2007
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4555 Views
47:57
Efficient max-margin Markov learning via conditional gradient and probabilistic ...
Feb 25, 2007
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4325 Views
20:40
XML structure mapping
Feb 25, 2007
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5799 Views
01:03:55
Going beyond bag-of-words: dealing with a text as a graph of triples
Feb 25, 2007
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8723 Views
31:47
Machine Learning for Sequential Data: A Comparative Study with Applications to N...
Feb 25, 2007
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6913 Views
13:48
Learning Structured Outputs via Kernel Dependency Estimation and Stochastic Gram...
Feb 25, 2007
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3442 Views
24:56
How to Teach Support Vector Machine to Learn Vector Outputs
Feb 25, 2007
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6518 Views
50:05
Learning Nonparametric Priors from Multiple Tasks
Feb 25, 2007
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4386 Views
29:59
Targeted PDF Learning
Feb 25, 2007
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4860 Views