Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Abstract. Power-balanced instruction scheduling for Very Long Instruction Word (VLIW) processors is an optimization problem which requires a good instruction-level power model for ...
Shu Xiao, Edmund Ming-Kit Lai, A. Benjamin Premkum...
Abstract. In this paper we address a common question in wireless communication: How long does it take to satisfy an arbitrary set of wireless communication requests? This problem i...
Abstract— Dynamic voltage scaling (DVS) is a promising technique for battery-powered systems to conserve energy consumption. Most existing DVS algorithms assume information about...