About
Cognitive science aims to reverse engineer human intelligence; machine learning provides one of our most powerful sources of insight into how machine intelligence is possible. Cognitive science therefore raises challenges for, and draws inspiration from, machine learning; and insights about the human mind may help inspire new directions for machine learning. This summer school brings together leading researchers from both fields, and those working at the interface between them. It is aimed at graduate students, post-docs and established researchers from both the cognitive science and machine learning communities, interested in exploring the interface between human and machine intelligence.
More about the event at http://www.mlss.cc/sardinia10
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Uploaded videos:
Tutorials
Machine learning for cognitive science 1: What is machine learning?
Jun 15, 2010
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22975 Views
Behavioural Learning: Inspiration from Nature?
Aug 13, 2010
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5623 Views
Machine learning for cognitive science 2: Bayesian methods and statistical learn...
Jun 15, 2010
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9658 Views
Learning with Probabilities
Aug 13, 2010
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12415 Views
Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Jun 15, 2010
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5893 Views
Introduction to Graphical Models
Aug 13, 2010
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11040 Views
Cognitive science for machine learning 1:What is cognitive science?
Jun 29, 2010
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8691 Views
What is cognitive science?
Aug 13, 2010
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10911 Views
Cognitive science for machine learning 2: Empirical methods
Jun 15, 2010
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4553 Views
Psychophysical Methods, Signal Detection Theory & Response Times
Aug 13, 2010
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5921 Views
Cognitive science for machine learning 3: Models and theories in cognitive scien...
Jun 15, 2010
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6046 Views
Models and theories in cognitive science (Part 2)
Aug 13, 2010
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3534 Views
Lectures
Computational models of vision
Jun 15, 2010
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6692 Views
Kernel Methods and Perceptual Classification
Jun 15, 2010
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4017 Views
Bayesian modeling of action and perception and some other stuff
Jun 15, 2010
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3538 Views
Inferring structure from data
Jun 15, 2010
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9734 Views
Finding structure in data
Jun 29, 2010
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4766 Views
Language acquisition and Kolmogorov complexity: Why is language acquisition poss...
Jun 15, 2010
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4140 Views
Monte Carlo and the mind
Jun 15, 2010
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7762 Views
Machine learning and the cognitive science of natural language
Jun 15, 2010
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4040 Views
Baysian models and cognitive development
Jun 29, 2010
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4636 Views
Neuroscience, cognitive science and machine learning
Jun 15, 2010
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8347 Views
How could networks of neurons learn to carry out probabilistic inference?
Jun 15, 2010
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4591 Views
Models of Human decision-making
Jun 15, 2010
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5205 Views
Reinforcement learning: Tutorial + Rethinking State, Action & Reward
Jun 15, 2010
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14966 Views