For some problems with many solutions, like planning and phylogeny reconstruction, one way to compute more desirable solutions is to assign weights to solutions, and then pick the ...
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
We introduce a natural generalization of submodular set cover and exact active learning with a finite hypothesis class (query learning). We call this new problem interactive submo...
The growing complexity and production cost of processor-based systems have imposed big constraints in SoC design of new systems. GPPs and ASICs are unable to fit the tight perform...
Victor M. Goulart Ferreira, Lovic Gauthier, Takayu...
Instruction set customization is an effective way to improve processor performance. Critical portions of application dataflow graphs are collapsed for accelerated execution on s...
Nathan Clark, Jason A. Blome, Michael L. Chu, Scot...