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
Videos
Tutorials

Cognitive science for machine learning 2: Empirical methods
Jun 15, 2010
·
4577 views

Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Jun 15, 2010
·
5913 views

Behavioural Learning: Inspiration from Nature?
Aug 13, 2010
·
5649 views

Cognitive science for machine learning 3: Models and theories in cognitive scien...
Jun 15, 2010
·
6072 views

Machine learning for cognitive science 1: What is machine learning?
Jun 15, 2010
·
23031 views

Learning with Probabilities
Aug 13, 2010
·
12453 views

Psychophysical Methods, Signal Detection Theory & Response Times
Aug 13, 2010
·
5952 views

What is cognitive science?
Aug 13, 2010
·
10945 views

Introduction to Graphical Models
Aug 13, 2010
·
11051 views

Models and theories in cognitive science (Part 2)
Aug 13, 2010
·
3542 views

Machine learning for cognitive science 2: Bayesian methods and statistical learn...
Jun 15, 2010
·
9684 views

Cognitive science for machine learning 1:What is cognitive science?
Jun 29, 2010
·
8715 views
Lectures

Bayesian modeling of action and perception and some other stuff
Jun 15, 2010
·
3565 views

Monte Carlo and the mind
Jun 15, 2010
·
7788 views

Finding structure in data
Jun 29, 2010
·
4781 views

Reinforcement learning: Tutorial + Rethinking State, Action & Reward
Jun 15, 2010
·
15074 views

Baysian models and cognitive development
Jun 29, 2010
·
4668 views

Language acquisition and Kolmogorov complexity: Why is language acquisition poss...
Jun 15, 2010
·
4153 views

Kernel Methods and Perceptual Classification
Jun 15, 2010
·
4025 views

Models of Human decision-making
Jun 15, 2010
·
5228 views

How could networks of neurons learn to carry out probabilistic inference?
Jun 15, 2010
·
4617 views

Neuroscience, cognitive science and machine learning
Jun 15, 2010
·
8362 views

Computational models of vision
Jun 15, 2010
·
6717 views

Inferring structure from data
Jun 15, 2010
·
9763 views

Machine learning and the cognitive science of natural language
Jun 15, 2010
·
4065 views