The ever increasing die area of Chip Multiprocessors (CMPs) affects manufacturing yield, resulting in higher manufacture cost. Meanwhile, network-on-chip (NoC) has emerged as a p...
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
They appeared in our life only few years ago and now they are everywhere: computers have become ubiquitous and, almost, irreplaceable. Classical ways of creating, managing and exch...
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
—Recent years have witnessed the wide adoption of the RFID technology in many important application domains including logistics, inventory, retailing, public transportation, and ...