Machine learning algorithms for multiple autonomous unmanned vehicle operations : using support vector machine with adaptively asymmetric misclassification costs for mine-like objects detection / [by]...: D68-3/121-2013E-PDF
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| Department/Agency | Canada. Defence R&D Canada. |
|---|---|
| Title | Machine learning algorithms for multiple autonomous unmanned vehicle operations : using support vector machine with adaptively asymmetric misclassification costs for mine-like objects detection / [by] Xiaoguang Wang ... [et al.]. |
| Series title | Contract report ; 2013–121 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | April 2013. Includes bibliographical references. Text in English, abstract in English and French. |
| Publishing information | [Ottawa] : Defence Research and Development Canada, 2013. |
| Description | viii, 16 p. : figs., tables. |
| Catalogue number |
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