We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
We build an analytical model for an application utilizing master-slave paradigm. In the model, only three architecture parameters are used: latency, bandwidth and flop rate. Instea...
We present an overview of a tutorial on model management--an approach to solving data integration problems, such as data warehousing, e-commerce, object-to-relational mapping, sch...
The Sage development method and associated tool set support an incremental, iterative, model-driven process to build and maintain high assurance, reactive multi-agent systems. A s...
Recent work has shown that the use of switched current methods can provide an effective route to implementation of analog IC functionality using a standard digital CMOS process. Fu...