We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by paying certain voters to change t...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Abstract. Identity-based encryption (IBE) schemes are usually used in multiplePKG environments — on the one hand, each administrative domain (e.g., a relatively small and close o...
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....