| Webb, G. and Wells, J. (1995) Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition Proceedings of Eighth Australian Joint Conference on Artificial Intelligence AI'95, Ed X. Yao, 13-17 November 1995, Canberra, World Scientific, 91-298. |
.... way out of this catch 22 is to get the human in the link or to use cases that are already classified (which were possibly classified by a human anyway) It is becoming increasingly acknowledged that automated approaches to KA such as ML can be enhanced by combining expertise from human experts (Webb and Wells 1995 and Shiraz and Sammut 1998) We are of the opinion that this is not a weakness in the approach but a reality of the complexity and situatedness of knowledge. To summarise using the four part framework of: what to validate; when to validate; which methodology; and what criteria (O Keefe, Balci ....
Webb, G. and Wells, J. (1995) Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition Proceedings of Eighth Australian Joint Conference on Artificial Intelligence AI'95, Ed X. Yao, 13-17 November 1995, Canberra, World Scientific, 91-298.
....approach using ML and expert input is required. Figure 6: An extended explanation screen that shows the conditions on the true and false branches after the first branching from the main stem. False rules prior to branching are discarded from the trace. This is in keeping with the findings by (Webb and Wells 1995) where an expert interacts with a machine learning system in the KA process. Explanation is typically thought of as words describing why a question has been asked or why a conclusion has been made. Users expectations and backgrounds together with the user interface will affect the way they are ....
Webb, G. and Wells, J. (1995) Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition Proceedings of Eighth Australian Joint Conference on Artificial Intelligence AI'95, Ed X. Yao, 13-17 November 1995, Canberra, World Scientific, pp:291-298.
....was therefore natural that we should use this system for the study. We present here a brief description of this system and relate it to other software for integrating machine learning with knowledge acquisition from experts. More details about the system are available elsewhere (Webb, 1992, 1996; Webb Wells, 1995). The Knowledge Factory is an interactive environment that was developed with the intention of enabling a domain expert to collaborate with a machine learning system throughout the knowledge acquisition and maintenance process. Most approaches to integrating machine learning and knowledge ....
Webb, G. I., & Wells, J. (1995). Recent progress in machine-expert collaboration for knowledge acquisition. Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence (pp.
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