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en:projects:details:neuralsemproject2 [2013/06/12 13:46] amir |
en:projects:details:neuralsemproject2 [2016/06/23 11:26] (current) |
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| The database entry: | The database entry: | ||
| "type" is one of the following: phd theses, phd semester, master thesis, master semester, bachelor semester | "type" is one of the following: phd theses, phd semester, master thesis, master semester, bachelor semester | ||
| - | "status" is one of the following: available, taken, completed (please upgrade accordingly!!!!!!!!!!) | + | "state" is one of the following: available, taken, completed (please upgrade accordingly!!!!!!!!!!) |
| "by" should be filled as soon as the project is taken/completed | "by" should be filled as soon as the project is taken/completed | ||
| "completed_dt" is the date when the project was completed (YYYY-MM-DD). | "completed_dt" is the date when the project was completed (YYYY-MM-DD). | ||
| Line 17: | Line 17: | ||
| contactroom: BC 160 | contactroom: BC 160 | ||
| type : master semester | type : master semester | ||
| - | status : completed | + | state : completed |
| created_dt : 2011-09-23 | created_dt : 2011-09-23 | ||
| taken_dt : 2013-01-17 | taken_dt : 2013-01-17 | ||
| completed_dt : 2013-06-12 | completed_dt : 2013-06-12 | ||
| by : Michael Hobbs | by : Michael Hobbs | ||
| - | output_media : en:projects:neural_storage_capacity.pdf|Download Abstract in PDF Format | + | output_media : :en:projects:master_semester:hobbs_salavati_semester_project_report_2013.pdf|Download Project Report in PDF Format |
| table : projects | table : projects | ||
| ====== | ====== | ||
| Line 47: | Line 47: | ||
| ====== Report ====== | ====== Report ====== | ||
| The report is available via the following link: | The report is available via the following link: | ||
| + | \\ | ||
| {{:en:projects:master_semester:hobbs_salavati_semester_project_report_2013.pdf|Nonlinear Dimensionality Reduction Techniques and Their Application in Neural Networks}} | {{:en:projects:master_semester:hobbs_salavati_semester_project_report_2013.pdf|Nonlinear Dimensionality Reduction Techniques and Their Application in Neural Networks}} | ||