Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers...
Background: Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information r...