Applications of Latent Variable Methods
| Class date(s): | Various dates | ||||
| |||||
| |||||
| |||||
| |||||
| |||||
| |||||
| |||||
| |||||
Class 7: soft sensors (21 October)
<pdfreflow> class_date = 21 October 2011 [3.6 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-7.pdf </pdfreflow> or you may download the class slides directly.
Please download and bring the following data sets to class:
- Sawdust: http://datasets.connectmv.com/info/sawdust
- Distillation tower: http://datasets.connectmv.com/info/distillation-tower
Class 8: advanced preprocessing, empirical models, adaptive models (21 October)
<pdfreflow> class_date = 28 October 2011 [1.3 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-8.pdf </pdfreflow> or you may download the class slides directly.
Please download and bring the following data sets to class:
- Kamyr digester: http://datasets.connectmv.com/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)
See the Dealing with image data section.
Class 10: Classification (11 November)
<pdfreflow> class_date = 11 November 2011 [11.4 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-10.pdf </pdfreflow> or you may download the class slides directly.
Also download and bring the following data set to class: