1 - 8 of 8 articles
Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations in populations....
This paper presents an alternative to the ‘speech acts with STRIPS’ approach to implementing dialogue a fully implemented AI planner which generates and analyses the semantics of utterances using a single linguistic act for all contexts. Using this act, the planner can model problematic...
This paper provides an analysis of existing literature and practical problems associated with the adoption of a developed knowledge-based decision support system (KBDSS) within small rural businesses. The rural small businesses selected for this study were individual farms within the Australian...
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