Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
We exhibit three approximation algorithms for the allocation problem in combinatorial auctions with complement free bidders. The running time of these algorithms is polynomial in ...
Computing frequent itemsets and maximally frequent itemsets in a database are classic problems in data mining. The resource requirements of all extant algorithms for both problems...
Ganesh Ramesh, William Maniatty, Mohammed Javeed Z...
We study, from the competitive analysis perspective, the trade off between communication cost and delay cost (or simply the sendor-wait dilemma) on a hierarchy (rooted tree). The p...
— We explore an on-line problem where a group of robots has to reach a target whose position is known in an unknown planar environment whose geometry is acquired by the robots du...