Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010

Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010

25 Lectures · May 6, 2010

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

Related categories

Uploaded videos:

Tutorials

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01:29:34

Machine learning for cognitive science 1: What is machine learning?

Neil D. Lawrence

Jun 15, 2010

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22988 Views

Tutorial
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01:04:12

Behavioural Learning: Inspiration from Nature?

Chris Watkins

Aug 13, 2010

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5631 Views

Tutorial
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01:21:03

Machine learning for cognitive science 2: Bayesian methods and statistical learn...

Bernhard Schölkopf

Jun 15, 2010

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9663 Views

Tutorial
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01:23:55

Learning with Probabilities

Neil D. Lawrence

Aug 13, 2010

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12428 Views

Tutorial
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01:20:08

Machine learning for cognitive science 3: Kernel methods and Bayesian methods

Bernhard Schölkopf

Jun 15, 2010

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5896 Views

Tutorial
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01:09:16

Introduction to Graphical Models

Silvia Chiappa

Aug 13, 2010

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11045 Views

Tutorial
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01:16:24

Cognitive science for machine learning 1:What is cognitive science?

Nick Chater

Jun 29, 2010

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8695 Views

Tutorial
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01:32:15

What is cognitive science?

Joshua B. Tenenbaum

Aug 13, 2010

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10917 Views

Tutorial
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01:29:42

Cognitive science for machine learning 2: Empirical methods

Nick Chater

Jun 15, 2010

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4558 Views

Tutorial
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01:28:53

Psychophysical Methods, Signal Detection Theory & Response Times

Felix A. Wichmann

Aug 13, 2010

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5926 Views

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01:19:12

Cognitive science for machine learning 3: Models and theories in cognitive scien...

Tom Griffiths

Jun 15, 2010

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6052 Views

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42:00

Models and theories in cognitive science (Part 2)

Nick Chater

Aug 13, 2010

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3536 Views

Tutorial

Lectures

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01:32:22

Computational models of vision

Shimon Ullman

Jun 15, 2010

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6696 Views

Lecture
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01:13:09

Kernel Methods and Perceptual Classification

Felix A. Wichmann

Jun 15, 2010

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4018 Views

Lecture
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01:22:10

Bayesian modeling of action and perception and some other stuff

Konrad Körding

Jun 15, 2010

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3543 Views

Lecture
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01:00:23

Inferring structure from data

Tom Griffiths

Jun 15, 2010

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9739 Views

Lecture
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59:17

Finding structure in data

Joshua B. Tenenbaum

Jun 29, 2010

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4769 Views

Lecture
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01:18:27

Language acquisition and Kolmogorov complexity: Why is language acquisition poss...

Nick Chater

Jun 15, 2010

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4144 Views

Lecture
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01:23:58

Monte Carlo and the mind

Tom Griffiths

Jun 15, 2010

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7767 Views

Lecture
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01:31:24

Machine learning and the cognitive science of natural language

Alexander Clark

Jun 15, 2010

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4046 Views

Lecture
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01:28:38

Baysian models and cognitive development

Joshua B. Tenenbaum

Jun 29, 2010

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4642 Views

Lecture
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01:10:31

Neuroscience, cognitive science and machine learning

Konrad Körding

Jun 15, 2010

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8350 Views

Lecture
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01:21:48

How could networks of neurons learn to carry out probabilistic inference?

Wolfgang Maass

Jun 15, 2010

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4600 Views

Lecture
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01:26:28

Models of Human decision-making

Nick Chater

Jun 15, 2010

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5210 Views

Lecture
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01:24:39

Reinforcement learning: Tutorial + Rethinking State, Action & Reward

Satinder Singh

Jun 15, 2010

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14993 Views

Lecture