In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
In this paper we investigate and compare multi-objective and weighted single objective approaches to a real world workforce scheduling problem. For this difficult problem we consid...
Peter I. Cowling, Nic Colledge, Keshav P. Dahal, S...
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
— Production automation systems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembl...
OLAP applications use precomputation of aggregate data to improve query response time. While this problem has been well-studied in the recent database literature, to our knowledge ...
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton