Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
The area of automatic selection of physical database design to optimize the performance of a relational database system based on a workload of SQL queries and updates has gained p...
Self-tuning is a cost-effective and elegant solution to the important problem of configuring a database to the characteristics of the query load. Existing techniques operate in an...
Karl Schnaitter, Serge Abiteboul, Tova Milo, Neokl...
Current database trigger systems have extremely limited scalability. This paper proposes a way to develop a truly scalable trigger system. Scalability to large numbers of trigger...
Eric N. Hanson, Chris Carnes, Lan Huang, Mohan Kon...
Artificial immune system (AIS)-based pattern classification approach is relatively new in the field of pattern recognition. The study explores the potentiality of this paradigm in ...