Abstract. The problem of defining robot behaviors to completely address a large and complex set of situations is very challenging. We present an approach for robot's action se...
The complexity and high construction cost of case bases make it very difficult, if not impossible, to evaluate a CBR system, especially a knowledge-intensive CBR system, using stat...
The success of a company more and more depends on its ability to flexibly and quickly react to changes. Combining process management techniques and conversational case-based reason...
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie