Event: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010 Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010

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MLSS 2010 - Sardinia   

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

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
Categories

Tutorials

votesvotesvotesvotesvotes [syn]  22910 views, 1:29:34  
flagMachine learning for cognitive science 1: What is machine learning?Machine learning for cognitive science 1: What is machine learning?
Neil D. Lawrence Neil D. Lawrence
comments2 comments 
votesvotesvotesvotesvotes [syn]  5599 views, 1:04:12  
flagBehavioural Learning: Inspiration from Nature?Behavioural Learning: Inspiration from Nature?
Chris Watkins Chris Watkins
votesvotesvotesvotesvotes [syn]  9635 views, 1:21:03  
flagMachine learning for cognitive science 2: Bayesian methods and statistical learning theoryMachine learning for cognitive science 2: Bayesian methods and statistical ...
Bernhard Schölkopf Bernhard Schölkopf
comments6 comments 
votesvotesvotesvotesvotes [syn]  12386 views, 1:23:55  
flagLearning with ProbabilitiesLearning with Probabilities
Neil D. Lawrence Neil D. Lawrence
[syn]  5872 views, 1:20:08  
flagMachine learning for cognitive science 3: Kernel methods and Bayesian methodsMachine learning for cognitive science 3: Kernel methods and Bayesian ...
Bernhard Schölkopf Bernhard Schölkopf
votesvotesvotesvotesvotes [syn]  11024 views, 1:09:16  
flagIntroduction to Graphical ModelsIntroduction to Graphical Models
Silvia Chiappa Silvia Chiappa
votesvotesvotesvotesvotes [syn]  8677 views, 1:16:24  
flagCognitive science for machine learning 1:What is cognitive science?Cognitive science for machine learning 1:What is cognitive science?
Nick Chater Nick Chater
votesvotesvotesvotesvotes [syn]  10877 views, 1:32:15  
flagWhat is cognitive science?What is cognitive science?
Joshua B. Tenenbaum Joshua B. Tenenbaum
comments3 comments 
votesvotesvotesvotesvotes [syn]  4522 views, 1:29:42  
flagCognitive science for machine learning 2: Empirical methodsCognitive science for machine learning 2: Empirical methods
Nick Chater Nick Chater
[syn]  5907 views, 1:28:53  
flagPsychophysical Methods, Signal Detection Theory & Response TimesPsychophysical Methods, Signal Detection Theory & Response Times
Felix A. Wichmann Felix A. Wichmann
votesvotesvotesvotesvotes [syn]  6036 views, 1:19:12  
flagCognitive science for machine learning 3: Models and theories in cognitive scienceCognitive science for machine learning 3: Models and theories in ...
Tom Griffiths Tom Griffiths
[syn]  3527 views, 42:00  
flagModels and theories in cognitive science (Part 2)Models and theories in cognitive science (Part 2)
Nick Chater Nick Chater

Lectures

votesvotesvotesvotesvotes [syn]  6670 views, 1:32:22  
flagComputational models of visionComputational models of vision
Shimon Ullman Shimon Ullman
[syn]  3993 views, 1:13:09  
flagKernel Methods and Perceptual ClassificationKernel Methods and Perceptual Classification
Felix A. Wichmann Felix A. Wichmann
[syn]  3530 views, 1:22:10  
flagBayesian modeling of action and perception and some other stuffBayesian modeling of action and perception and some other stuff
Konrad Körding Konrad Körding
votesvotesvotesvotesvotes [syn]  9676 views, 1:00:23  
flagInferring structure from dataInferring structure from data
Tom Griffiths Tom Griffiths
[syn]  4756 views, 59:17  
flagFinding structure in dataFinding structure in data
Joshua B. Tenenbaum Joshua B. Tenenbaum
[syn]  4115 views, 1:18:27  
flagLanguage acquisition and Kolmogorov complexity: Why is language acquisition possibleLanguage acquisition and Kolmogorov complexity: Why is language acquisition possible
Nick Chater Nick Chater
votesvotesvotesvotesvotes [syn]  7735 views, 1:23:58  
flagMonte Carlo and the mindMonte Carlo and the mind
Tom Griffiths Tom Griffiths
votesvotesvotesvotesvotes [syn]  4028 views, 1:31:24  
flagMachine learning and the cognitive science of natural languageMachine learning and the cognitive science of natural language
Alexander Clark Alexander Clark
[syn]  4622 views, 1:28:38  
flagBaysian models and cognitive developmentBaysian models and cognitive development
Joshua B. Tenenbaum Joshua B. Tenenbaum
[syn]  8327 views, 1:10:31  
flagNeuroscience, cognitive science and machine learningNeuroscience, cognitive science and machine learning
Konrad Körding Konrad Körding
votesvotesvotesvotesvotes [syn]  4573 views, 1:21:48  
flagHow could networks of neurons learn to carry out probabilistic inference?How could networks of neurons learn to carry out probabilistic ...
Wolfgang Maass Wolfgang Maass
votesvotesvotesvotesvotes [syn]  5193 views, 1:26:28  
flagModels of Human decision-makingModels of Human decision-making
Nick Chater Nick Chater
votesvotesvotesvotesvotes [syn]  14849 views, 1:24:39  
flagReinforcement learning: Tutorial + Rethinking State, Action & RewardReinforcement learning: Tutorial + Rethinking State, Action & Reward
Satinder Singh Satinder Singh

Reviews and comments:

Comment1 sandra, August 6, 2018 at 12:07 p.m.:

The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures." <a href="https://liteblue.me">liteblue</a>

Comment2 LiteBlue, September 1, 2018 at 6:59 a.m.:

The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures.

Comment3 <a href="https://www.google.com/">dfdf</a>, August 6, 2019 at 6:19 a.m.:

The typical analysis of cognitive science spans many levels of organization, from learning and decision to logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures.

Comment4 adhkjb, December 21, 2019 at 7:06 a.m.:

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