Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Abstract. This paper presents AROM, a new object-based knowledge representation system. AROM is original in two ways. Firstly, in addition to classes, knowledge representation in A...
Abstract. We are interested in the class of systems for which the satisfaction of code dependencies is a dynamic process rather than one which is determined purely at load-time. Ex...
Abstract – In this paper, we propose a modeling approach for the average power consumption of macro-blocks that are typically used in digital signal processing (DSP) systems, suc...
This paper introduces FARA, a framework that provides abstractions and mechanisms for building integrated adaptation and resource allocation services in complex real-time systems....