Text Analysis for Constructing Design Representations
The following is the presentation for the Fourth International Conference on Artificial Intelligence in Design at Stanford University.
- Slide One - Title
- Slide Two - Structured Design Representations
- Slide Three - Some Open Questions
- Slide Four - Some Answers
- Slide Five - Learning Features from Geometry
- Slide Six - Learning Concepts from Design Text
- Slide Seven - From Information to Concepts
- Slide Eight - Research Hypotheses
- Slide Nine - Learning the Context
- Slide Ten - Machine Learning - Clustering
- Slide Eleven - Machine Learning - Belief Networks
- Slide Twelve - Results - Belief Network
- Slide Thirteen - Interpretations of Network
- Slide Fourteen - Information Architecture
- Slide Fifteen - Information Desktop
- Slide Sixteen - Summary and Open Questions
| BEST Lab | Department of Mechanical Engineering | University of California at Berkeley
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