Module:Machine Learning: Difference between revisions
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Organized by [http://www.cs.dartmouth.edu/~rockmore Dan Rockmore] | Organized by [http://www.cs.dartmouth.edu/~rockmore Dan Rockmore] | ||
==Readings== | ==Readings== | ||
===Dan Rockmore=== | |||
===Cosma Shalizi=== | |||
(Content from 2010 Wiki) | |||
* [http://arxiv.org/abs/nlin.AO/0409024 Quantifying Self-Organization with Optimal Predictors]<br> | |||
* [http://arxiv.org/abs/nlin.AO/0307015 Methods and Techniques of Complex Systems Science: An Overview]<br> | |||
* [http://arxiv.org/abs/cs.LG/0406011 Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences]<br> | |||
* [http://arxiv.org/abs/nlin.CG/0508001 Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems]<br> | |||
* [http://arxiv.org/abs/cond-mat/9907176 Computational Mechanics: Pattern and Prediction, Structure and Simplicity]<br> | |||
* [http://arxiv.org/abs/1001.0036 The Computational Structure of Spike Trains]<br> | |||
* [http://arxiv.org/abs/q-bio.NC/0609008 Discovering Functional Communities in Dynamical Networks]<br> | |||
* [http://arxiv.org/abs/q-bio.NC/0506009 Measuring Shared Information and Coordinated Activity in Neuronal Networks]<br> | |||
* [http://arxiv.org/abs/math.PR/0305160 Optimal Nonlinear Prediction of Random Fields on Networks] | |||
-------- | |||
[http://www.stat.cmu.edu/~cshalizi/350/ Data mining and statistical learning lecture notes]<br> | |||
[http://www.stat.cmu.edu/~cshalizi/462/ Chaos, complexity and inference lecture notes] | |||
-------- | |||
CSSS lecture slides: | |||
===Greg Leibon=== | |||
Matlab Files | |||
* [[Media:ProbablityChain.mat | Probability Chains]] | |||
* [[Media:Toy.mat | Toy markov chain during Lecture 1]] | |||
Notes | |||
* [[Media:CSSS10Pickle.pdf | Lecture 1 notes]] | |||
* [[Media:CSSS10Boundary.pdf | Lecture 2 notes]] | |||
* [[Media:CSSS01Quantum.pdf | Lecture 3 notes]] | |||
* [[Media:shoe.pdf | Markov Chains In A Shoebox]] | |||
* [[Media:pickle.pdf | Conformal Geometry of Markov Chains]] | |||
------ | |||
Latest revision as of 18:03, 30 June 2011
| Complex Systems Summer School 2011 Modules |
Organized by Dan Rockmore
Readings
Dan Rockmore
Cosma Shalizi
(Content from 2010 Wiki)
- Quantifying Self-Organization with Optimal Predictors
- Methods and Techniques of Complex Systems Science: An Overview
- Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
- Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- The Computational Structure of Spike Trains
- Discovering Functional Communities in Dynamical Networks
- Measuring Shared Information and Coordinated Activity in Neuronal Networks
- Optimal Nonlinear Prediction of Random Fields on Networks
Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes
CSSS lecture slides:
Greg Leibon
Matlab Files
Notes
- Lecture 1 notes
- Lecture 2 notes
- Lecture 3 notes
- Markov Chains In A Shoebox
- Conformal Geometry of Markov Chains