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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6631| Title: | Neural Network Exploration Using Optimal Experiment Design |
| Issue Date: | 9-Oct-2013 |
| Description: | We consider the question "How should one act when the only goal is to learn as much as possible?" Building on the theoretical results of Fedorov [1972] and MacKay [1992], we apply techniques from Optimal Experiment Design (OED) to guide the query/action selection of a neural network learner. We demonstrate that these techniques allow the learner to minimize its generalization error by exploring its domain efficiently and completely. We conclude that, while not a panacea, OED-based query/action has much to offer, especially in domains where its high computational costs can be tolerated. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1491 http://hdl.handle.net/1721.1/6631 |
| Appears in Collections: | MIT Items |
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