Abstract. Conventional middleware architectures suffer from insufficient module-level reusability and the ability to adapt in face of functionality evolution and diversification....
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Abstract Within a framework of correct code-generation from HOLspecifications, we present a particular instance concerned with the optimized compilation of a lazy language (called...
Accurate prediction of operator execution time is a prerequisite for database query optimization. Although extensively studied for conventional disk-based DBMSs, cost modeling in ...
Stefan Manegold, Peter A. Boncz, Martin L. Kersten
This paper proposes a novel architecture synthesis algorithm for single-loop single-bit ∆Σ modulators. We defined a generic modulator architecture and derived its noise and si...