In this paper we present an approach for quantitative analysis of application-specific dataflow architectures. The approach allows the designer to rate design alternatives in a qu...
Bart Kienhuis, Ed F. Deprettere, Kees A. Vissers, ...
Background: Orthologs (genes that have diverged after a speciation event) tend to have similar function, and so their prediction has become an important component of comparative g...
Debra L. Fulton, Yvonne Y. Li, Matthew R. Laird, B...
A new language, Feldspar, is presented, enabling high-level and platform-independent description of digital signal processing (DSP) algorithms. Feldspar is a pure functional langua...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...