Difference between revisions of "Applications of Latent Variable Methods"
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== Class 7: soft sensors (21 October) == | == Class 7: soft sensors (21 October 2011) == | ||
[[Media:Lvm-class-7.pdf|Download the class slides]] directly. | |||
Please download and bring the following data sets to class: | Please download and bring the following data sets to class: | ||
* Sawdust: | * Sawdust: http://openmv.net/info/sawdust | ||
* Distillation tower: | * Distillation tower: http://openmv.net/info/distillation-tower | ||
== Class 8: advanced preprocessing, empirical models, adaptive models (21 October 2011) == | |||
[[Media:Lvm-class-8.pdf|Download the class slides]] directly. | |||
Please download and bring the following data sets to class: | Please download and bring the following data sets to class: | ||
* Kamyr digester: | * Kamyr digester: http://openmv.net/info/kamyr-digester | ||
'''Note''': the first few slides are similar to last week's slides that we didn't cover in class. | '''Note''': the first few slides are similar to last week's slides that we didn't cover in class. | ||
== Class 9: Dealing with image data (04 November 2011) == | |||
== Class 9: Dealing with image data (04 November) == | |||
See the [[Dealing_with_image_data|Dealing with image data]] section. | See the [[Dealing_with_image_data|Dealing with image data]] section. | ||
== Class 10: Classification (11 November 2011) == | |||
[[Media:Lvm-class-10.pdf|Download the class slides]] directly. | |||
Also download and bring the following data set to class: | Also download and bring the following data set to class: | ||
* [http:// | * [http://learnche.org/images/a/ae/Olive-oil.csv Olive oil] | ||
<!-- === R script used to compare models === | <!-- === R script used to compare models === | ||
<syntaxhighlight lang="R"> | <syntaxhighlight lang="R"> | ||
# Load the data and create training/testing splits | # Load the data and create training/testing splits | ||
cheese <- read.csv(' | cheese <- read.csv('http://openmv.net/file/cheddar-cheese.csv') | ||
N = dim(cheese)[1] | N = dim(cheese)[1] | ||
set.seed(2) | set.seed(2) | ||
Revision as of 07:08, 7 February 2017
| Class date(s): | Various dates | ||||
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Class 7: soft sensors (21 October 2011)
Download the class slides directly.
Please download and bring the following data sets to class:
- Sawdust: http://openmv.net/info/sawdust
- Distillation tower: http://openmv.net/info/distillation-tower
Class 8: advanced preprocessing, empirical models, adaptive models (21 October 2011)
Download the class slides directly.
Please download and bring the following data sets to class:
- Kamyr digester: http://openmv.net/info/kamyr-digester
Note: the first few slides are similar to last week's slides that we didn't cover in class.
Class 9: Dealing with image data (04 November 2011)
See the Dealing with image data section.
Class 10: Classification (11 November 2011)
Download the class slides directly.
Also download and bring the following data set to class: