| タイトル | Visual Inference Programming |
| 著者（英） | Clanton, Sam; Lvov, Nikolay; Timucin, Dogan; Wheeler, Kevin; Curry, Charles; Pilewskie, Peter; Rabbette, Maura; Allan, Mark |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2002-06-13 |
| 言語 | eng |
| 内容記述 | The goal of visual inference programming is to develop a software framework data analysis and to provide machine learning algorithms for inter-active data exploration and visualization. The topics include: 1) Intelligent Data Understanding (IDU) framework; 2) Challenge problems; 3) What's new here; 4) Framework features; 5) Wiring diagram; 6) Generated script; 7) Results of script; 8) Initial algorithms; 9) Independent Component Analysis for instrument diagnosis; 10) Output sensory mapping virtual joystick; 11) Output sensory mapping typing; 12) Closed-loop feedback mu-rhythm control; 13) Closed-loop training; 14) Data sources; and 15) Algorithms. This paper is in viewgraph form. |
| NASA分類 | Computer Programming and Software |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/537623 |
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